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	<title>Journal articles</title>
	<description>Papers about antidepressant withdrawal</description>
	<link>http://survivingantidepressants.org/index.php</link>
	<pubDate>Fri, 18 May 2012 20:04:19 +0000</pubDate>
	<ttl>60</ttl>
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		<title>Hsiao 2008 Successful duloxetine use to prevent venlafaxine withdrawal symptoms.</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2268-hsiao-2008-successful-duloxetine-use-to-prevent-venlafaxine-withdrawal-symptoms/</link>
		<description><![CDATA[One frying pan into the other. All this demonstrates is that one SNRI, Cymbalta, may be swapped for another, Effexor. This paper does not address the difficulties reported by patients who attempt to discontinue Cymbalta.<br />
<br />
Prog Neuropsychopharmacol Biol Psychiatry. 2008 Feb 15;32(2):576. Epub 2007 Aug 31.<br />
<strong class='bbc'>Successful duloxetine use to prevent venlafaxine withdrawal symptoms.</strong><br />
Hsiao MC, Liu CY.<br />
<br />
No abstract. Citation at <a href='http://www.ncbi.nlm.nih.gov/pubmed/17889418' class='bbc_url' title='External link' rel='nofollow external'>http://www.ncbi.nlm.nih.gov/pubmed/17889418</a><br />
<br />
Full text:<br />
<br />
<strong class='bbc'>Successful duloxetine use to prevent venlafaxine withdrawal symptoms</strong><br />
<br />
Mei-Chun Hsiao, Corresponding Author, and Chia-Yih Liua<br />
<br />
Department of Psychiatry, Chang-Gung Memorial Hospital and Chang Gung University School of Medicine #5 Fu-Shin Street, Kweishang, Taoyuan, 333, Taiwan<br />
<br />
Antidepressants with a dual action of inhibiting the reuptake of noradrenaline and serotonin (SNRI) e.g. venlafaxine have been reported to have risks of withdrawal symptoms on stoppage of venlafaxine (Fava et al., 1997 M. Fava, R. Mulroy, J. Alpert, A.A. Nierenberg and J.F. Rosenbaum, Emergence of adverse events following discontinuation of treatment with extended-release Venlafaxine, Am J Psychiatry 154 (1997), pp. 1760–1762. Fava et al., 1997), even under low dosage (Hsiao and Liu, 2004).<br />
<br />
This is a report of a woman with remitted major depressive disorder who had developed severe withdrawal symptoms after discontinuation of venlafaxine. We used another SNRI, duloxetine, to prevent venlafaxine withdrawal symptoms successfully.<br />
<br />
A 41 year-old career woman was successfully treated with 150 mg daily dosage of venlafaxine for her major depressive disorder at our clinic. She had used venlafaxine for over one year and eight months and she wished but could not discontinue the drug due to previous severe intolerable withdrawal symptoms. The symptoms included graving anxiety, palpitations, restlessness, fine tremors, excessive sweating, increased frequency of bowel movements, nausea, vomiting, headache, diarrhea, easy fatigability, general somatic pain and electric shock-like sensations if she did not take the last dosage of venlafaxine 75 mg for 48 to 36 h. These complaints were associated with significant socio-occupational dysfunction.<br />
<br />
We had tried to reduce her venlafaxine to 37.5 mg t.i.d. over a period of 2 weeks, but this woman complained severe headache and dizziness and she took 75 mg b.i.d. again by herself. Then we tried to use fluoxetine to replace venlafaxine with cosss-taper switching strategy (Edlinger et al., 2005) with failures. She is still afraid to taper off venlafaxine due to those dysphoric and awful experiences although severe sexual dysfunction was also complained under taking venlafaxine.<br />
<br />
We started to give her another SNRI (Stahl et al., 2005), duloxetine 30 mg, and venlafaxine 150 mg daily for one week, then duloxetine 60 mg and venlafaxine 75 mg in the second week. No any discontinue symptoms were reported. In the third week, duloxetine 60 mg and venlafaxine 37.5 mg were used, and then she only took duloxetine 60 mg in the forth week. She showed good tolerance with duloxetine and she discontinued duloxetine 60 mg daily in the end of the fifth week without any antidepressant discontinue syndrome.<br />
<br />
To our best knowledge, it's the first report to use duloxetine, another SNRI, to prevent venlafaxine withdrawal. We then tried another 8 cases that had severe venlafaxine withdrawal history and also got similar good response.<br />
<br />
In summary, duloxetine shows better tolerance and it may be another good choice to taper venlafaxine with significant withdrawal history or even prevent venlafaxine withdrawal symptoms. No significant side effects or serotonin syndrome were noted in our 9 cases during the combination use of duloxetine and venlafaxine. But further larger sample clinical trial is warranted to prove our successful clinical experiences.<br />
References<br />
<br />
Edlinger et al., 2005 M. Edlinger, S. Baumgartner, N. Eltanaihi-Furtmuller, M. Hummer and W.W. Fleischhacker, Switching between second-generation antipsychotics: why and how?, CNS Drugs 19 (2005), pp. 27–42. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (15)<br />
<br />
Fava et al., 1997 M. Fava, R. Mulroy, J. Alpert, A.A. Nierenberg and J.F. Rosenbaum, Emergence of adverse events following discontinuation of treatment with extended-release Venlafaxine, Am J Psychiatry 154 (1997), pp. 1760–1762. View Record in Scopus | Cited By in Scopus (64)<br />
<br />
Hsiao and Liu, 2004 M.C. Hsiao and C.Y. Liu, Withdrawal reactions associated with low-dose venlafaxine treatment in a patient with premenstrual dysphoric disorde, J Clin Psychiatry 65 (2004), pp. 1147–1148. View Record in Scopus | Cited By in Scopus (2)<br />
<br />
Stahl et al., 2005 S.M. Stahl, M.M. Grady, C. Moret and M. Briley, SNRIs: their pharmacology, clinical efficacy, and tolerability in comparison with other classes of antidepressants, CNS Spectr 10 (2005), pp. 732–747. View Record in Scopus | Cited By in Scopus (66)]]></description>
		<pubDate>Fri, 18 May 2012 20:04:19 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2268-hsiao-2008-successful-duloxetine-use-to-prevent-venlafaxine-withdrawal-symptoms/</guid>
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		<title>Ho 2011 Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia.</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2263-ho-2011-long-term-antipsychotic-treatment-and-brain-volumes-a-longitudinal-study-of-first-episode-schizophrenia/</link>
		<description><![CDATA[Nancy Andreasen was a co-author. Robert Whitaker's article on this study <a href='http://www.psychologytoday.com/blog/mad-in-america/201102/andreasen-drops-bombshell-antipsychotics-shrink-the-brain' class='bbc_url' title='External link' rel='nofollow external'>http://www.psychologytoday.com/blog/mad-in-america/201102/andreasen-drops-bombshell-antipsychotics-shrink-the-brain</a><br />
<br />
Arch Gen Psychiatry. 2011 Feb;68(2):128-37.<br />
<strong class='bbc'>Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia.</strong><br />
Ho BC, Andreasen NC, Ziebell S, Pierson R, Magnotta V.<br />
<br />
Source<br />
<br />
Departments of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.<br />
<br />
Abstract at <a href='http://www.ncbi.nlm.nih.gov/pubmed/21300943' class='bbc_url' title='External link' rel='nofollow external'>http://www.ncbi.nlm.nih.gov/pubmed/21300943</a> Full text at <a href='http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/archgenpsychiatry.2010.199' class='bbc_url' title='External link' rel='nofollow external'>http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/archgenpsychiatry.2010.199</a><br />
<br />
CONTEXT:<br />
Progressive brain volume changes in schizophrenia are thought to be due principally to the disease. However, recent animal studies indicate that antipsychotics, the mainstay of treatment for schizophrenia patients, may also contribute to brain tissue volume decrement. Because antipsychotics are prescribed for long periods for schizophrenia patients and have increasingly widespread use in other psychiatric disorders, it is imperative to determine their long-term effects on the human brain.<br />
<br />
OBJECTIVE:<br />
To evaluate relative contributions of 4 potential predictors (illness duration, antipsychotic treatment, illness severity, and substance abuse) of brain volume change.<br />
<br />
DESIGN:<br />
Predictors of brain volume changes were assessed prospectively based on multiple informants.<br />
<br />
SETTING:<br />
Data from the Iowa Longitudinal Study.<br />
<br />
PATIENTS:<br />
Two hundred eleven patients with schizophrenia who underwent repeated neuroimaging beginning soon after illness onset, yielding a total of 674 high-resolution magnetic resonance scans. On average, each patient had 3 scans (≥2 and as many as 5) over 7.2 years (up to 14 years).<br />
<br />
MAIN OUTCOME MEASURE:<br />
Brain volumes.<br />
<br />
RESULTS:<br />
During longitudinal follow-up, antipsychotic treatment reflected national prescribing practices in 1991 through 2009. Longer follow-up correlated with smaller brain tissue volumes and larger cerebrospinal fluid volumes. Greater intensity of antipsychotic treatment was associated with indicators of generalized and specific brain tissue reduction after controlling for effects of the other 3 predictors. More antipsychotic treatment was associated with smaller gray matter volumes. <strong class='bbc'>Progressive decrement in white matter volume was most evident among patients who received more antipsychotic treatment.</strong> Illness severity had relatively modest correlations with tissue volume reduction, and alcohol/illicit drug misuse had no significant associations when effects of the other variables were adjusted.<br />
<br />
CONCLUSIONS:<br />
<strong class='bbc'>Viewed together with data from animal studies, our study suggests that antipsychotics have a subtle but measurable influence on brain tissue loss over time, suggesting the importance of careful risk-benefit review of dosage and duration of treatment as well as their off-label use.</strong><br />
<br />
<br />
Archives of General Psychiatry Editorial | February 2011<br />
<strong class='bbc'>Antipsychotic Medications and Brain VolumeDo We Have Cause for Concern?</strong><br />
David A. Lewis, MD <br />
<br />
Full text at <a href='http://archpsyc.jamanetwork.com/article.aspx?articleid=211017' class='bbc_url' title='External link' rel='nofollow external'>http://archpsyc.jamanetwork.com/article.aspx?articleid=211017</a><br />
<br />
<p class='citation'>Quote</p><div class="blockquote"><div class='quote'>....the findings of Ho and colleagues, in concert with those of the aforementioned animal studies and prior reports in humans,8 raise the important question of the clinical significance of the observed brain volume changes. Do the reductions in brain volume associated with antipsychotic medications impair function or are they related to the therapeutic benefits of these medications? Many individuals with schizophrenia discontinue taking typical and antipsychotic medications because of limited efficacy and poorly tolerated adverse effects.9 The observation by Ho and colleagues that the amount of antipsychotic treatment predicted the degree of brain volume reduction leaves open the possibility that the patients who benefitted the most continued to receive antipsychotic treatment and subsequently had the greatest brain volume changes. The idea that strategic reductions in brain volume can be functionally beneficial is supported by the improvements in cognitive capacity that accompany cortical gray matter volume reductions during adolescence.10 Alternatively, as suggested by Ho and colleagues, perhaps antipsychotic medications improve symptoms and contribute to progressive brain tissue reductions through different actions on separate brain circuits.<br />
<br />
A classic maxim in clinical medicine is to treat the patient, not the laboratory test—or in this case, the MRI. Thus, the findings of Ho and colleagues should not be construed as an indication for discontinuing the use of antipsychotic medications as a treatment for schizophrenia. But they do highlight the need to closely monitor the benefits and adverse effects of these medications in individual patients, to prescribe the minimal amount needed to achieve the therapeutic goal, to consider the addition of nonpharmacological approaches that may improve outcomes,11 and to continue the pursuit of new antipsychotic medications with different mechanisms of action and more favorable benefit to harm ratios.</div></div>]]></description>
		<pubDate>Thu, 17 May 2012 19:16:29 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2263-ho-2011-long-term-antipsychotic-treatment-and-brain-volumes-a-longitudinal-study-of-first-episode-schizophrenia/</guid>
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		<title>Stahl 2001 Natural Estrogen as an Antidepressant for Women</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2184-stahl-2001-natural-estrogen-as-an-antidepressant-for-women/</link>
		<description><![CDATA[Astounding, indeed!  The Archives of General Psychiatry article is from 2001.  Dr. Stahl's name is almost hidden, just listed as 'Stahl'.  I'd like to get Lori Altschuler Expert Consensus Guidelines on Treatment of Depression from Postgraduate Medicine, March 2001, referenced. <br />
<br />
Natural Estrogen as an Antidepressant for Women<br />
Stephen M. Stahl, MD, PhD<br />
Brainstorms <br />
 <a href='http://www.psychiatrist.com/pcc/brainstorm/br6206.htm' class='bbc_url' title='External link' rel='nofollow external'>http://www.psychiatrist.com/pcc/brainstorm/br6206.htm</a><br />
Related article:<br />
Sex and Psychopharmacology <br />
Is Natural Estrogen a Psychotropic in Women?<br />
Archives of General Psychiatry, 2001: 58<br />
Stahl<br />
 <a href='http://archpsyc.ama-assn.org/cgi/content/extract/58/6/537' class='bbc_url' title='External link' rel='nofollow external'>http://archpsyc.ama-assn.org/cgi/content/extract/58/6/537</a> <br />
<br />
 Clinicians have observed, anecdotally and in open studies of small numbers of patients,that estrogen apparently exerts antidepressant actions as a monotherapy when administered to some women who have MDD both in the postpartum period and during perimenopause. <br />
It is somewhat astounding that controlled clinical trials of estrogen for depressed women across their life cycle are only now being published, since not only do women of child-bearing potential have the highest rates of depression, but also women on the whole consume over 70% of antidepressants.<br />
<br />
Two recently published,well-designed studies now suggest that 17 beta-estradiol may indeed be an antidepressant for women with depression during perimenopause, including women with MDD. In fact, estradiol treatment was associated with a robust treatment effect, including complete remission in the majority of patients studied.]]></description>
		<pubDate>Sat, 28 Apr 2012 04:51:14 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2184-stahl-2001-natural-estrogen-as-an-antidepressant-for-women/</guid>
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		<title>Turner 2008 Selective publication of antidepressant trials and its influence on apparent efficacy.</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2173-turner-2008-selective-publication-of-antidepressant-trials-and-its-influence-on-apparent-efficacy/</link>
		<description><![CDATA[Antidepressant effectiveness has been overstated by 11% to 69%; this should be included in a risk-benefit analysis. This paper has been cited by 329 others.<br />
<br />
N Engl J Med. 2008 Jan 17;358(3):252-60.<br />
<strong class='bbc'>Selective publication of antidepressant trials and its influence on apparent efficacy.</strong><br />
Turner EH, Matthews AM, Linardatos E, Tell RA, Rosenthal R.<br />
<br />
Source<br />
<br />
Department of Psychiatry, Oregon Health and Science University, Portland, OR, USA. turnere@ohsu.edu<br />
<br />
Abstract at <a href='http://www.ncbi.nlm.nih.gov/pubmed/18199864' class='bbc_url' title='External link' rel='nofollow external'>http://www.ncbi.nlm.nih.gov/pubmed/18199864</a> Full text at <a href='http://www.nejm.org/doi/full/10.1056/NEJMsa065779#t=article' class='bbc_url' title='External link' rel='nofollow external'>http://www.nejm.org/doi/full/10.1056/NEJMsa065779#t=article</a><br />
<br />
BACKGROUND:<br />
<br />
Evidence-based medicine is valuable to the extent that the evidence base is complete and unbiased. Selective publication of clinical trials--and the outcomes within those trials--can lead to unrealistic estimates of drug effectiveness and alter the apparent risk-benefit ratio.<br />
<br />
METHODS:<br />
<br />
We obtained reviews from the Food and Drug Administration (FDA) for studies of 12 antidepressant agents involving 12,564 patients. We conducted a systematic literature search to identify matching publications. For trials that were reported in the literature, we compared the published outcomes with the FDA outcomes. We also compared the effect size derived from the published reports with the effect size derived from the entire FDA data set.<br />
<br />
RESULTS:<br />
<br />
Among 74 FDA-registered studies, 31%, accounting for 3449 study participants, were not published. Whether and how the studies were published were associated with the study outcome. A total of 37 studies viewed by the FDA as having positive results were published; 1 study viewed as positive was not published. Studies viewed by the FDA as having negative or questionable results were, with 3 exceptions, either not published (22 studies) or published in a way that, in our opinion, conveyed a positive outcome (11 studies). According to the published literature, it appeared that 94% of the trials conducted were positive. By contrast, the FDA analysis showed that 51% were positive. Separate meta-analyses of the FDA and journal data sets showed that the increase in effect size ranged from 11 to 69% for individual drugs and was 32% overall.<br />
<br />
CONCLUSIONS:<br />
<br />
We cannot determine whether the bias observed resulted from a failure to submit manuscripts on the part of authors and sponsors, from decisions by journal editors and reviewers not to publish, or both. Selective reporting of clinical trial results may have adverse consequences for researchers, study participants, health care professionals, and patients.<br />
<br />
<br />
From the paper:<br />
<br />
Medical decisions are based on an understanding of publicly reported clinical trials.1,2 If the evidence base is biased, then decisions based on this evidence may not be the optimal decisions. For example, selective publication of clinical trials, and the outcomes within those trials, can lead to unrealistic estimates of drug effectiveness and alter the apparent risk–benefit ratio.3,4<br />
<br />
Attempts to study selective publication are complicated by the unavailability of data from unpublished trials. Researchers have found evidence for selective publication by comparing the results of published trials with information from surveys of authors,5 registries,6 institutional review boards,7,8 and funding agencies,9,10 and even with published methods.11 Numerous tests are available to detect selective-reporting bias, but none are known to be capable of detecting or ruling out bias reliably.12-16<br />
<br />
In the United States, the Food and Drug Administration (FDA) operates a registry and a results database.17 Drug companies must register with the FDA all trials they intend to use in support of an application for marketing approval or a change in labeling. The FDA uses this information to create a table of all studies.18 The study protocols in the database must prospectively identify the exact methods that will be used to collect and analyze data. Afterward, in their marketing application, sponsors must report the results obtained using the prespecified methods. These submissions include raw data, which FDA statisticians use in corroborative analyses. This system prevents selective post hoc reporting of favorable trial results and outcomes within those trials.<br />
<br />
How accurately does the published literature convey data on drug efficacy to the medical community? To address this question, we compared drug efficacy inferred from the published literature with drug efficacy according to FDA reviews.<br />
....<br />
<br />
For each of the 12 drugs, the effect size derived from the journal articles exceeded the effect size derived from the FDA reviews (sign test, P&lt;0.001) (Figure 3B). The magnitude of the increases in effect size between the FDA reviews and the published reports ranged from 11 to 69%, with a median increase of 32%. A 32% increase was also observed in the weighted mean effect size for all drugs combined, from 0.31 (95% CI, 0.27 to 0.35) to 0.41 (95% CI, 0.36 to 0.45).<br />
<br />
....<br />
<strong class='bbc'>Discussion</strong><br />
We found a bias toward the publication of positive results. <span style='color: #8B0000'><strong class='bbc'>Not only were positive results more likely to be published, but studies that were not positive, in our opinion, were often published in a way that conveyed a positive outcome.</strong></span> We analyzed these data in terms of the proportion of positive studies and in terms of the effect size associated with drug treatment. <strong class='bbc'>Using both approaches, we found that the efficacy of this drug class is less than would be gleaned from an examination of the published literature alone.</strong> According to the published literature, the results of nearly all of the trials of antidepressants were positive. In contrast, FDA analysis of the trial data showed that roughly half of the trials had positive results. The statistical significance of a study's results was strongly associated with whether and how they were reported, and the association was independent of sample size. The study outcome also affected the chances that the data from a participant would be published. As a result of selective reporting, the published literature conveyed an effect size nearly one third larger than the effect size derived from the FDA data.<br />
<br />
Previous studies have examined the risk–benefit ratio for drugs after combining data from regulatory authorities with data published in journals.3,30-32 We built on this approach by comparing study-level data from the FDA with matched data from journal articles. This comparative approach allowed us to quantify the effect of selective publication on apparent drug efficacy.<br />
<br />
Our findings have several limitations: they are restricted to antidepressants, to industry-sponsored trials registered with the FDA, and to issues of efficacy (as opposed to “real-world” effectiveness33). <span style='color: #8B0000'><strong class='bbc'>This study did not account for other factors that may distort the apparent risk–benefit ratio, such as selective publication of safety issues</strong></span>, as has been reported with rofecoxib (Vioxx, Merck)34 and with the use of selective serotonin-reuptake inhibitors for depression in children.3 Because we excluded articles covering multiple studies, we probably counted some studies as unpublished that were — technically — published. The practice of bundling negative and positive studies in a single article has been found to be associated with duplicate or multiple publication,35 which may also influence the apparent risk–benefit ratio.<br />
<br />
There can be many reasons why the results of a study are not published, and we do not know the reasons for nonpublication. Thus, we cannot determine whether the bias observed resulted from a failure to submit manuscripts on the part of authors and sponsors, decisions by journal editors and reviewers not to publish submitted manuscripts, or both.<br />
<br />
We wish to clarify that nonsignificance in a single trial does not necessarily indicate lack of efficacy. Each drug, when subjected to meta-analysis, was shown to be superior to placebo. On the other hand, the true magnitude of each drug's superiority to placebo was less than a diligent literature review would indicate.<br />
<br />
We do not mean to imply that the primary methods agreed on between sponsors and the FDA are necessarily preferable to alternative methods. Nevertheless, when multiple analyses are conducted, the principle of prespecification controls the rate of false positive findings (type I error), and it prevents HARKing,36 or hypothesizing after the results are known.<br />
<br />
It might be argued that some trials did not merit publication because of methodologic flaws, including problems beyond the control of the investigator. However, since the protocols were written according to international guidelines for efficacy studies37 and were carried out by companies with ample financial and human resources, to be fair to the people who put themselves at risk to participate, a cogent public reason should be given for failure to publish.<br />
<br />
Selective reporting deprives researchers of the accurate data they need to estimate effect size realistically. Inflated effect sizes lead to underestimates of the sample size required to achieve statistical significance. Underpowered studies — and selectively reported studies in general — waste resources and the contributions of investigators and study participants, and they hinder the advancement of medical knowledge. By altering the apparent risk–benefit ratio of drugs, selective publication can lead doctors to make inappropriate prescribing decisions that may not be in the best interest of their patients and, thus, the public health.<br />
<br />
Dr. Turner reports having served as a medical reviewer for the Food and Drug Administration. No other potential conflict of interest relevant to this article was reported.<br />
....<br />
<br />
Source Information<br />
<br />
From the Departments of Psychiatry (E.H.T., A.M.M.) and Pharmacology (E.H.T.), Oregon Health and Science University; and the Behavioral Health and Neurosciences Division, Portland Veterans Affairs Medical Center (E.H.T., A.M.M., R.A.T.) — both in Portland, OR; the Department of Psychology, Kent State University, Kent, OH (E.L.); the Department of Psychology, University of California–Riverside, Riverside (R.R.); and Harvard University, Cambridge, MA (R.R.).<br />
....]]></description>
		<pubDate>Wed, 25 Apr 2012 21:36:37 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2173-turner-2008-selective-publication-of-antidepressant-trials-and-its-influence-on-apparent-efficacy/</guid>
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		<title>Andrews 2012 Primum non nocere: an evolutionary analysis of whether antidepressants do more harm than good</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2171-andrews-2012-primum-non-nocere-an-evolutionary-analysis-of-whether-antidepressants-do-more-harm-than-good/</link>
		<description><![CDATA[The large number of adverse health effects vs the limited symptom-reducing effects of antidepressants suggests they could generally do more harm than good.<br />
<br />
Frontiers in Psychology Vol. 3 2012 #00117   <br />
DOI=10.3389/fpsyg.2012.00117 ISSN=1664-1078      <br />
    <br />
<strong class='bbc'>Primum non nocere: an evolutionary analysis of whether antidepressants do more harm than good</strong><br />
Paul W. Andrews1,2*, J. Anderson Thomson Jr.3,4, Ananda Amstadter2 and Michael C. Neale2<br />
<br />
    1 Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada<br />
    2 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA<br />
    3 Counseling and Psychological Services, Student Health, University of Virginia, Charlottesville, VA, USA<br />
    4 Institute of Law, Psychiatry and Public Policy, University of Virginia, Charlottesville, VA, USA<br />
<br />
Abstract and full text at <a href='http://www.frontiersin.org/Journal/Abstract.aspx?s=413&name=evolutionary_psychology&ART_DOI=10.3389/fpsyg.2012.00117' class='bbc_url' title='External link' rel='nofollow external'>http://www.frontiersin.org/Journal/Abstract.aspx?s=413&name=evolutionary_psychology&ART_DOI=10.3389/fpsyg.2012.00117</a><br />
<br />
Antidepressant medications are the first-line treatment for people meeting current diagnostic criteria for major depressive disorder. Most antidepressants are designed to perturb the mechanisms that regulate the neurotransmitter serotonin – an evolutionarily ancient biochemical found in plants, animals, and fungi. Many adaptive processes evolved to be regulated by serotonin, including emotion, development, neuronal growth and death, platelet activation and the clotting process, attention, electrolyte balance, and reproduction. It is a principle of evolutionary medicine that the disruption of evolved adaptations will degrade biological functioning. Because serotonin regulates many adaptive processes, antidepressants could have many adverse health effects. For instance, while antidepressants are modestly effective in reducing depressive symptoms, they increase the brain’s susceptibility to future episodes after they have been discontinued. Contrary to a widely held belief in psychiatry, studies that purport to show that antidepressants promote neurogenesis are flawed because they all use a method that cannot, by itself, distinguish between neurogenesis and neuronal death. In fact, antidepressants cause neuronal damage and mature neurons to revert to an immature state, both of which may explain why antidepressants also cause neurons to undergo apoptosis (programmed death). Antidepressants can also cause developmental problems, they have adverse effects on sexual and romantic life, and they increase the risk of hyponatremia (low sodium in the blood plasma), bleeding, stroke, and death in the elderly. Our review supports the conclusion that antidepressants generally do more harm than good by disrupting a number of adaptive processes regulated by serotonin. However, there may be specific conditions for which their use is warranted (e.g., cancer, recovery from stroke). We conclude that altered informed consent practices and greater caution in the prescription of antidepressants are warranted.<br />
<br />
<br />
From the full text:<br />
<br />
<strong class='bbc'>Introduction</strong><br />
Serotonin (5-hydroxytryptamine or 5-HT) is an ancient chemical, evolving at least one billion years ago, and it is present in fungi, plants, and animals (Azmitia, 2007). It belongs to a class of biochemicals called monoamines, which also includes norepinephrine (NE), and dopamine (DA). Many adaptive processes evolved to be regulated by serotonin, including cell differentiation, temperature, blood clotting, digestion and gut movement, insulin, electrolyte balance, astrocytic activity, neuronal apoptosis, cerebral blood flow, attention, aggression, mood, reproductive function, and mating behavior (Johnson and Thunhorst, 1997; Azmitia, 2001, 2007, 2010; Jimenez-Trejo et al., 2007; Fonseca et al., 2009; Paulmann et al., 2009).<br />
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Drugs affecting the serotonergic system are among the most widely prescribed psychiatric medications. Depression is the most common psychiatric condition for which people seek help (Pincus et al., 1999), and the symptoms are regulated, at least partly, by serotonin and norepinephrine (Heisler et al., 1998; Mayorga et al., 2001; Santarelli et al., 2003; Cryan et al., 2004; Amat et al., 2005, 2006). About 6.6% of adults, or about 13 million of the adult US population, are estimated to have depressive episodes that meet current criteria for major depressive disorder (MDD) within a year’s time (Kessler et al., 2007). Antidepressant medication is the most commonly prescribed treatment for depression (Olfson et al., 2002), and most of these drugs target serotonin and norepinephrine, although dopamine is affected to some degree as well (Stahl, 2008). Commonly prescribed classes of antidepressants are listed in Table 1. Antidepressants may also be prescribed to people with subclinical depression and many other conditions, including dysthymia, bipolar depression, schizoaffective disorder, post psychotic depression, generalized anxiety disorder, panic disorder (with or without agoraphobia), social phobia, substance abuse disorders, anorexia, bulimia, obsessive compulsive disorder, post-traumatic stress disorder, and chronic pain syndromes. Thus, millions of people are prescribed antidepressants and affected by them each year.<br />
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The principle of primum non nocere requires physicians to do no harm. However, there is increasing concern that current diagnostic criteria and treatment practices may do more harm than good (Hagen, 2003; Horwitz and Wakefield, 2007; Kirsch et al., 2008; Andrews and Thomson Jr., 2009; Fournier et al., 2010; Wakefield et al., 2010; Andrews et al., 2011; Fava and Offidani, 2011), and these concerns are increasingly expressed in prominent public outlets (Lehrer, 2010; Angell, 2011). Moreover, many of the concerns have been driven by evolutionary conceptions about the nature of disorder (Wakefield, 1992, 1999; Watson and Andrews, 2002; Hagen, 2003; Horwitz and Wakefield, 2007; Andrews and Thomson Jr., 2009; Andrews et al., 2011).<br />
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It is a principle of evolutionary medicine that the disruption of adaptive processes will degrade biological functioning (Nesse and Williams, 1994).<br />
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Given the broad distribution of serotonin inside and outside of the brain (Berger et al., 2009), and the broad effects of serotonin on adaptive processes, antidepressants could have many adverse health effects. Despite considerable research, there has been little emphasis on the broad serotonergic effects of antidepressants on health in debates about antidepressant use.<br />
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In this article, we consider: (1) the broad effects of antidepressants on putative pathological processes thought to be involved in depression; (2) the effects of antidepressants on normal, adaptive processes in the body as a whole; and (3) the issue of whether antidepressants do more harm than good. Ultimately, we come down on the side that the benefits of antidepressants are generally outweighed by their costs (see Table 2), though there may be specific populations where their use is warranted. Notably, our argument does not depend on the efficacy of antidepressants relative to other possible treatments for depression. Rather, it depends on whether it is better for practitioners to refrain from prescribing rather than to start a patient on antidepressants. For this reason, we do not discuss non-pharmacological alternatives, although this is an active area of research. Of course, we do not advocate that practitioners not provide treatment; however, if results of a cost–benefit analysis suggest that providing no medication is a superior choice compared to that of prescribing antidepressants in most situations, then practitioners might be more inclined to employ other treatments with a lower side effect profile.<br />
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<strong class='bbc'>Table 2. Summary of costly &copy; and beneficial (<img src='http://survivingantidepressants.org/public/style_emoticons/default/cool.gif' class='bbc_emoticon' alt='B)' /> effects of antidepressant medications, with some estimate of their effect size or frequency.</strong><br />
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<strong class='bbc'>Serotonin and Homeostasis</strong><br />
In animals, only about 5% of the body’s serotonin resides in the brain. Most of the body’s serotonin is housed in the gut, with 90% of that stored in enterochromaffin cells (where most of it is synthesized) and the remaining 10% is synthesized by and stored in myenteric interneurons (Gershon, 2004). Enterochromaffin cells also release serotonin into the blood stream, where most of it is taken up by platelets. Serotonin does not pass the adult blood–brain barrier, so central and peripheral sources do not communicate with each other (Hranilovic et al., 2011).<br />
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Serotonin is normally under homeostatic control in the brain, the gut, and blood plasma (Hyman and Nestler, 1996; Gershon, 2004; Lesurtel et al., 2008; Keszthelyi et al., 2009; Matondo et al., 2009; Best et al., 2010; Mercado and Kilic, 2010). Homeostasis involves the regulation of an important substance or physiological parameter within a narrow range around an equilibrium. Homeostatic mechanisms are classic examples of evolved adaptations because they maintain important physiological parameters at levels needed for proper biological functioning (Hochochka and Somero, 2002; Woods, 2009), and because they often have complex machinery that could only have evolved by natural selection (Andrews et al., 2011). Minimally, homeostatic mechanisms have a sensor for determining how far the parameter deviates from the equilibrium and feedback mechanisms for bringing the parameter back to equilibrium (Woods, 2009). For instance, the homeostatic control of core body temperature involves neuronal sensors in the preoptic anterior hypothalamus that connect with various efferent pathways to exert feedback and keep temperature at equilibrium (Romanovsky, 2007). Additionally, many homeostatic mechanisms can raise or lower the equilibrium in response to environmental contingencies. Thus, the body often responds to an infection by raising the core body temperature equilibrium – otherwise known as fever (Romanovsky et al., 2005). Feedback mechanisms then maintain core body temperature around this elevated equilibrium.<br />
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We now discuss, in turn, how serotonin is homeostatically regulated in the brain, gut, and blood plasma.<br />
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<strong class='bbc'>Serotonin in the Brain</strong><br />
In the brain, serotonergic neurons originate in the raphe nuclei and project widely to various regions. The dorsal raphe nucleus is the primary source of neurons projecting to forebrain areas. After serotonin is released into the synapse, it is eventually taken back into the presynaptic neuron by serotonin transporter molecules where it is broken down by the enzyme monoamine oxidase A.<br />
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Synaptic levels of serotonin are homeostatically regulated, in part, by 5-HT1A autoreceptors located on the somatodendritic regions of serotonergic neurons that control neuronal firing and 5-HT1B autoreceptors located in terminal regions that control the synthesis of serotonin (Best et al., 2010). Thus, when synaptic levels of serotonin are perturbed upwards from their equilibrium level, autoreceptor activity causes a decrease in the firing of serotonergic neurons and a reduction in synthesis, both of which tend to keep synaptic levels relatively stable (Best et al., 2010). Conversely, when synaptic levels are perturbed downwards from equilibrium, firing and synthesis increase to maintain equilibrium levels (Best et al., 2010).<br />
Serotonin in the Gut<br />
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Most of the serotonin in the body is produced by enterochromaffin cells that line the digestive tract from the stomach to the colon. Enterochromaffin cells turn over quickly because they form part of the epithelial layer, so neurons cannot form tight junctions with them. Consequently, enterochromaffin cells produce large amounts of serotonin to compensate for the large intervening distance from neurons (Gershon, 2004). However, too much extracellular serotonin in the intestinal lining is harmful and can cause irritable bowel syndrome, characterized by symptoms of pain, diarrhea, constipation, indigestion, bloating, and headache (Gershon, 2004). There are no extracellular enzymes for catabolizing serotonin, and mucosal epithelial cells play an important role in maintaining homeostasis by clearing extracellular serotonin via the same transporter that is expressed in the brain (Gershon and Tack, 2007). These cells then catabolize serotonin by monoamine oxidase or other pathways (Gershon, 2004).<br />
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<strong class='bbc'>Serotonin in Blood Plasma</strong><br />
The overflow of serotonin produced by enterochromaffin cells is also released into the bloodstream (Gershon and Tack, 2007). Blood plasma levels of serotonin are regulated by platelet cells via the action of the serotonin transporter, which is expressed on the platelet cell membrane (Linder et al., 2007; Mercado and Kilic, 2010).<br />
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Transporter molecules are stored in vesicles in the platelet cytoplasm and trafficking between the surface and cytoplasmic stores takes place as a function of plasma levels of serotonin (Mercado and Kilic, 2010). When plasma levels of serotonin are low, a relatively small increase in serotonin triggers a process by which the surface expression of the transporter is increased, promoting the accumulation in platelets and maintaining low plasma levels. Platelets store serotonin in large granules that are crucial to the clotting process (Heger and Collins, 2004), so this homeostatic mechanism for regulating plasma serotonin levels is important for ensuring that clotting mechanisms are primed for the onset of any injuries.<br />
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Various cells in the skin (melanocytes, mast cells, Merkel cells) can synthesize and store serotonin (Nordlind et al., 2008). When an injury that punctures the skin takes place, free serotonin levels rapidly increase in the area around the wound (Hernandez-Cueto et al., 2000). A large localized increase in plasma serotonin levels can reverse the surface expression of transporter in platelets (Mercado and Kilic, 2010). Specifically, trafficking reverses direction, reducing transporter expression on the surface, increasing transporter accumulation in cytoplasmic vesicles, and reducing the further uptake of serotonin into the platelet. Moreover, high plasma levels of serotonin initiate a complex process by which the cytoplasmic stores of serotonin trigger the release of procoagulants from the platelet (Mercado and Kilic, 2010), which promotes the clotting process at the site of injury.<br />
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<strong class='bbc'>The Effects of Antidepressant Medications on Body Systems</strong><br />
According to the most prominent view in medicine and psychiatry, disorders stem from a breakdown or a decline in biological functioning [American Psychiatric Association (APA), 2000b]. Since natural selection is the only natural force capable of generating biological functions, and traits with biological functions are called adaptations, disorders can be understood as involving a breakdown or a decline in the functioning of evolved adaptations (Wakefield, 1992, 1999). In principle, then, interventions that degrade or disrupt the functioning of homeostatic mechanisms can cause disorder.<br />
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Antidepressants are most commonly taken in pill form, though there are some that can be taken through a transdermal patch. In either case, they enter the bloodstream, pass through the blood–brain barrier, and affect neuronal functioning. Antidepressants perturb monoamine levels through a variety of mechanisms, the most common of which is by binding to monoamine transporters. In the normally functioning rodent brain, transporter blockade prevents the reuptake of monoamines into the presynaptic neuron, which causes extracellular monoamines to increase from equilibrium levels in forebrain regions within minutes to hours of administration (see Figure 1; Rutter and Auerbach, 1993; Bymaster et al., 2002; Felton et al., 2003). With prolonged antidepressant use, however, the brain’s homeostatic mechanisms buffer this effect by making a number of compensatory changes (Best et al., 2010), including an inhibition of synthesis that causes the entire pool of serotonin in the forebrain (intracellular plus extracellular) to decline (Honig et al., 2009). Consequently, extracellular levels in the forebrain return to equilibrium levels with prolonged treatment (Popa et al., 2010). There are other changes that take place with chronic antidepressant use to maintain homeostasis, including alterations in the density and functioning of serotonin receptors, transporters, and enzymes (Holt and Baker, 1996; Hyman and Nestler, 1996; Adell et al., 2005; Kovacevic et al., 2010).<br />
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But antidepressants also spread widely throughout the body. Because the serotonin transporter plays a crucial role in the homeostatic regulation of serotonin in the gut and plasma, antidepressants can also influence serotonergic processes in the periphery.<br />
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There are a number of ways that antidepressants can disrupt properly functioning homeostatic mechanisms in the brain and periphery and cause disorder. The first way is derived from the fact that it takes several weeks for the decline in synthesis to bring extracellular levels of serotonin in the brain back down to equilibrium levels. During this time, serotonin levels are higher than what they should be. Antidepressants could potentially cause disorder prior to the restoration of equilibrium.<br />
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Second, the long-term use of antidepressants can strain homeostatic regulatory mechanisms, because they must make a number of accommodations to restore equilibrium, and this can degrade the functioning of those mechanisms. For instance, it has been suggested that depression could potentially be the result of decline in the functioning of regulatory mechanisms caused by prolonged stress (McEwen, 2000; Ganzel et al., 2010). The same principle suggests that long-term antidepressant use could potentially cause degradation in the functioning of the homeostatic mechanisms controlling serotonin.<br />
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<span style='color: #8B0000'><strong class='bbc'>Third, antidepressants can trigger disorder when they are discontinued.</strong></span> Even though equilibrium is eventually restored with prolonged antidepressant use, it only does so because the accommodations made by the brain oppose the action of antidepressants (Andrews et al., 2011; Fava and Offidani, 2011). <span style='color: #8B0000'><strong class='bbc'>When antidepressants are discontinued, the accommodations made by the brain are unopposed, which should again cause serotonin levels to deviate from equilibrium. Thus, the discontinuation of antidepressants can cause disorder until the brain reverses the accommodations made during treatment.</strong></span><br />
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Finally, antidepressants can cause disorder by effectively disabling a key part of the homeostatic mechanism. For instance, the homeostatic regulation of serotonin in the gut and the blood plasma rely primarily on the serotonin transporter (Gershon, 2004; Mercado and Kilic, 2010). By blocking the transporter, antidepressants interfere with a key part of the homeostatic mechanism such that it is not possible to return the system to the equilibrium.<br />
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As we discuss the negative effects of antidepressants on serotonin-regulated processes throughout the body, we sometimes do not know precisely which of these mechanisms is at work or whether other unknown mechanisms are at work. But these mechanisms are proof of the principle that antidepressants can have transient or long-lasting effects that disrupt the proper functioning of homeostatic mechanisms.<br />
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<strong class='bbc'>Depressed Mood</strong><br />
Research in rodents in which the homeostatic mechanisms regulating serotonin and norepinephrine are temporarily or permanently disabled has provided strong experimental evidence that monoamines play a role in regulating the behavioral symptoms of depression (Heisler et al., 1998; Mayorga et al., 2001; Santarelli et al., 2003; Cryan et al., 2004; Amat et al., 2005, 2006). However, the precise relationship between serotonin and depressive symptoms is a matter of debate (Sapolsky, 2004; Andrews and Thomson Jr., 2009). The oldest neurochemical disorder hypothesis for depression posits that serotonin and other monoamines are depleted – at least in people with severe episodes of depression – and antidepressants correct this imbalance. For the purposes of this paper, we do not need to know the precise relationship. The fact that depressive symptoms are under serotonergic control, and serotonin is under homeostatic control, suggests that the brain could push back against the mood lowering effects of antidepressants during treatment (Andrews et al., 2011).<br />
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<strong class='bbc'>Modest Efficacy of Antidepressants during Treatment</strong><br />
Antidepressants are widely thought to be effective in reducing symptoms. However, recent research strongly suggests that they are only modestly effective at best. For instance, studies showing a positive effect of antidepressants over placebo have been selectively published (Turner et al., 2008). Turner et al. (2008) applied to the US Food and Drug Administration (FDA) under the Freedom of Information Act (FOIA) to get access to the published and unpublished studies submitted by pharmaceutical companies to get governmental approval for their drugs. They found that 94% of the published studies showed an advantage of antidepressants over placebo. When the published and unpublished studies were considered together, only 51% showed an advantage over placebo.<br />
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Kirsch et al. (2008) also applied to the FDA under the FOIA to understand how much more effective antidepressants were at reducing depressive symptoms compared to placebo. Changes in depressive symptoms were measured with the 17-item Hamilton Depression Rating Scale (HDRS; Hamilton, 1960), the most common instrument for assessing the efficacy of antidepressant medications in clinical trials. Scores can range from 0 to 53, and researchers interpret them in a variety of ways (Kearns et al., 1982; Cohn and Wilcox, 1992; Angst et al., 1993). The American Psychiatric Association (APA) (2000a) specifically mentions the scheme used by Kearns et al. (1982), and it is formally used by the National Institute for Clinical Excellence (NICE) in Great Britain (National Institute for Clinical Excellence, 2004) (see Table 3).<br />
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Two other things about the HDRS are noteworthy. First, patients with a score of 13 or higher typically meet formal diagnostic criteria for an episode of MDD (Bagby et al., 2004). In other words, many people who meet diagnostic criteria for MDD only have mild/moderate symptoms according to NICE guidelines. Second, NICE guidelines require an antidepressant drug to reduce symptoms by three HDRS points or more than placebo to be considered clinically significant (National Institute for Clinical Excellence, 2004).<br />
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On average, Kirsch et al. (2008) found that patients on placebo experienced a 7.8 point reduction in HDRS symptoms while those on antidepressants experienced a 9.6 point reduction. This might seem like both groups improved substantially, but with the exception of one study, patients in all studies were, on average, in the “very severely” depressed range (mean HDRS ≥ 23) at entry. In other words, even with the improvement in symptoms caused by both placebo and antidepressants, most patients would probably still have satisfied diagnostic criteria for MDD. Moreover, on average, antidepressants reduced symptoms by only 1.8 HDRS points more than placebo. While this was a statistically significant difference, this was not sufficient to meet NICE clinical significance guidelines. The difference between antidepressant and placebo did increase with initial HDRS scores, and it reached clinical significance with baseline scores of 28 or higher. However, antidepressants did not reach clinical significance at high HDRS scores because they were increasing in efficacy; rather, it was due to a decline in the efficacy of placebo.<br />
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Interpreted straightforwardly, the results suggest that antidepressants do not really have much clinical effect on depressive symptoms, except perhaps in patients in the “very severe” range. The finding that antidepressants have modest symptom reducing effects relative to placebo has been replicated in several other studies (Khan et al., 2002, 2005, 2011; Fournier et al., 2010). <span style='color: #8B0000'><strong class='bbc'>The British consider the difference between placebo and antidepressant to be small enough to recommend that antidepressants not be used except in cases of severe depression</strong></span> (Bonin, 2012). Recently, in an interview on the news program 60 Minutes, a representative of the US FDA stated that the symptom reducing effect of antidepressants relative to placebo is “rather small” (Bonin, 2012).<br />
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Some have taken the evidence of the limited efficacy of antidepressants as evidence that serotonin is not involved in regulating depressive symptoms. However, limited efficacy is also expected under the hypothesis that the homeostatic mechanisms regulating serotonin are still intact, because the brain is expected to push back against the effects of antidepressants (Andrews et al., 2011).<br />
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Effects of Prolonged Antidepressant Treatment</strong><br />
Even among those who respond to antidepressant treatment, longer-term use is associated with a loss of symptom reducing efficacy – sometimes causing a full-blown relapse. This is also consistent with the brain pushing back against the symptom reducing effect of antidepressants. In an early review, studies showed that 9–57% of long-term antidepressant users met formal criteria for a relapse or a recurrence (Byrne and Rothschild, 1998). More recent studies have found similarly high rates of relapse among those who initially remitted on the drug. In one study of fluoxetine, 35.2% met relapse criteria after 6 months of continuous treatment, increasing to 45.9% after 12 months (McGrath et al., 2006). In another study, 68% of patients who initially met remission criteria, and were exposed only to continuous antidepressant treatment, had a relapse over a 2 year period (Bockting et al., 2008). Of course, these studies only report increases in symptoms that meet formal criteria for a relapse. A more general loss of efficacy with prolonged antidepressant use must be substantially higher.<br />
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<strong class='bbc'>Sequenced Treatment Alternatives to Relieve Depression</strong><br />
The results of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study are worth detailed description. This study has widely been reported as evidence that antidepressants are effective in the long-term reduction of depressive symptoms, especially if an alternative antidepressant with a broader monoaminergic profile is administered after a narrower one fails (Insel and Wang, 2009). The 3110 patients who met inclusion criteria for STAR*D were put through a maximum of four sequential pharmacological treatments, where a new treatment was initiated conditional on failing to respond to the prior one. The overall remission rate for patients who completed all treatment steps was reported to be 67% (Rush et al., 2006).<br />
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However, STAR*D did not include a placebo control group, so any positive responses are not simply attributable to antidepressants – they are attributable to both antidepressants and the placebo effect. Since there was no placebo group, it is not possible to estimate how effective antidepressants were. Moreover, focusing on only those patients who completed all the treatment steps obscures the fact that 93% of the 1518 patients who met criteria for remission in one of the four steps either relapsed during 12 months of treatment or dropped out of the study (Pigott et al., 2010). Even with no placebo control group, this awkward fact also suggests that antidepressants have limited long-term efficacy at best. The 93% relapse/dropout rate was not reported in the primary STAR*D publications. Rather, it was reported by outside researchers who re-analyzed the data (Pigott et al., 2010). These outside researchers have also documented numerous instances of apparent bias in the reporting of results by STAR*D researchers (Pigott et al., 2010).<br />
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<strong class='bbc'>Increased Risk of Relapse after Antidepressant Discontinuation</strong><br />
When homeostatic mechanisms are perturbed from equilibrium, they produce an opposing force that is proportional to the degree of perturbation. For instance, when you compress a spring from its equilibrium position, it produces an opposing force and the strength of this force increases as you compress it further. Moreover, when you release your hand from the compressed spring, it first overshoots the equilibrium position before returning to equilibrium, and the degree of overshoot is proportional to how much you compressed it.<br />
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Antidepressants vary in how much they perturb forebrain monoamine levels, which is analogous to saying that they compress the spring to varying degrees. If the homeostatic mechanisms regulating monoamine levels are properly functioning in most people diagnosed with MDD, then we should see an overshoot in depressive symptoms when they are discontinued. Moreover, the degree of overshoot should be proportional to the strength of the antidepressant.<br />
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To test the overshoot prediction, we recently conducted a meta-analysis of studies in which antidepressants are discontinued. Data are lacking on how much antidepressants perturb monoamines in the human brain because it requires invasive techniques, so we examined how much they increase monoamines in a region of the rodent prefrontal cortex implicated in controlling depressive symptoms (Amat et al., 2005). <span style='color: #8B0000'><strong class='bbc'>Placebo has no effect on monoamine levels in the rodent brain, but the strongest antidepressants can increase prefrontal monoamine levels by 400% or more</strong></span> (Bymaster et al., 2002). After controlling for covariates, we found strong positive relationships between the risk of relapse after discontinuation and the degree to which the antidepressant used in the study increases serotonin (Figure 2) and norepinephrine (Figure 3). <strong class='bbc'>In other words, the more antidepressants perturb monoamine levels in the brain, the more the brain appears to push back, which increases the risk of relapse when the drug is discontinued. This positive relationship also strongly suggests that patients who get better without the use of antidepressants (i.e., when serotonin and norepinephrine levels are not perturbed) will have a lower risk of relapse.</strong><br />
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Altogether, the results of our meta-analysis further support the hypothesis that the homeostatic mechanisms regulating serotonin and norepinephrine are pushing back against the effects of antidepressants. The fact that this pushback occurs in patients meeting current diagnostic criteria for MDD casts some doubt on the hypothesis that serotonin levels are dysregulated in such patients. This is because the sensor and negative feedback components of the homeostatic mechanisms must be functioning to produce pushback against the effects of antidepressants. However, our results do not rule out some dysfunction in the component that sets the equilibrium.<br />
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The results also are inconsistent with hypotheses that antidepressants interrupt stress responses and give the brain a chance to heal so that it can become more resilient to depression (Sapolsky, 2001; Kramer, 2005). <strong class='bbc'>Instead, antidepressant use appears to increase susceptibility to depression.</strong><br />
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To show how different antidepressants affect the risk of relapse, for this paper we conducted a regression analysis on this dataset including the major antidepressant classes and controlling for the covariates we identified as being important in our prior work. Fluoxetine is unique among the SSRIs in that it increases prefrontal norepinephrine levels through a mechanism other than reuptake blockade (Bymaster et al., 2002), so we separated it from the other SSRIs. <strong class='bbc'>The estimated 3-month risk of relapse for patients who had remitted while on placebo was only 21.4%, while the risk after antidepressant discontinuation generally increased with the monoaminergic perturbational effect of the class: 43.3% (SSRI), 47.7% (SNRI), 55.2% (TCA), 61.8% (fluoxetine), and 75.1% (MAOI).</strong><br />
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<strong class='bbc'>Neuronal Proliferation, Death, and Differentiation</strong><br />
Serotonin is involved in shaping the brain through a number of developmental processes, including cell differentiation, neuronal apoptosis (programmed neuronal death), neurogenesis (the birth and growth of new neurons), and neuroplasticity (Azmitia, 2001). Because of the complex role that serotonin plays in shaping the brain, antidepressants could have complex effects on neuronal functioning.<br />
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Many studies have been conducted purporting to show that antidepressants promote neurogenesis (Hanson et al., 2011), and some have argued that this could be a fundamental and beneficial part of the antidepressant response (Santarelli et al., 2003; Duman, 2004; Warner-Schmidt and Duman, 2006; Perera et al., 2011). Many also consider neurogenesis to be useful because it could promote healing of neuronal damage that is purportedly caused by depression (Sapolsky, 2001).<br />
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<strong class='bbc'>At the same time, the assumption that neurogenesis is a beneficial effect of antidepressants should not be accepted uncritically. Neurogenesis is carefully regulated over the life span because cognitive functioning does not bear a simple relationship to the number of neurons in the brain. In fact, if antidepressants were really effective in promoting the proliferation of new neurons, clinicians would have to weigh any possible utility of antidepressants with the possibility that they could trigger brain tumors (Jackson, 2009). However, there is growing in vitro evidence that antidepressants reduce gliomas and neuroblastomas, and these effects are mediated by neuronal apoptosis (Levkovitz et al., 2005; Cloonan and Williams, 2011).</strong> In fact, a recent epidemiological study suggests that prolonged TCA use in humans may protect against gliomas (Walker et al., 2011), although antidepressants may increase the risk of other forms of cancer (Cosgrove et al., 2011). Apoptotic effects are not limited to neoplastic tissue. Antidepressants have been found to cause cell death in non-cancerous hippocampal neurons in vitro (Post et al., 2000; Bartholoma et al., 2002) and in vivo (Sairanen et al., 2005). They have also been found to cause cell death in sperm cells (Tanrikut et al., 2010). In short, there is good evidence from several different lines that antidepressants trigger apoptosis.<br />
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It would be extremely odd if antidepressants directly and concomitantly promoted both neurogenesis and neuronal apoptosis. In fact, the evidence of antidepressant triggered neurogenesis is equivocal (Jackson, 2009). At the heart of the matter is the fact that all the studies testing for neurogenesis use a method called 5-bromo-2′-deoxyuridine (BrdU). Other methods may be used as well, but BrdU is nearly always used. BrdU is an analog of the nucleoside thymidine that is incorporated into DNA during synthesis, and the incorporated compound can be detected using immunohistochemistry. Thus, BrdU is a marker of DNA synthesis, which might make it seem to be a good marker of cellular proliferation, since DNA must be synthesized for a cell to divide. However, the interpretation of the BrdU signal is complicated by the fact that BrdU can be incorporated into DNA during processes other than neurogenesis, including DNA repair, abortive cell cycle reentry, and DNA duplication without cellular division (Taupin, 2007). Of particular relevance is the fact that DNA is often synthesized during processes that lead to apoptosis (Taupin, 2007). The interpretational problems with BrdU have led one reviewer to state that BrdU is “one of the most misused techniques in neuroscience” (Taupin, 2007, p. 198). <strong class='bbc'>Other commentators have stated that “bromodeoxyuridine (BrdU) labeling is often uncritically accepted as proof of neurogenesis when it may well be attributable to a cell cycle-related cell death” (Herrup et al., 2004, p. 9232).</strong><br />
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More recently, researchers have used other methods in conjunction with BrdU to attempt to ascertain the fate of neurons after antidepressant use. Common methods involve assessing neurons for Ki-67 and doublecortin (DCX), both of which are proteins expressed by maturing neurons still going through the cell cycle, and NeuN, which is thought to be a marker of mature neurons that is expressed after doublecortin is downregulated. Positive signals for Ki-67, DCX, or NeuN are frequently interpreted as providing stronger evidence that antidepressants have triggered neuronal growth.<br />
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<strong class='bbc'>However, a recent study using more sophisticated methodology found no evidence that the antidepressant fluoxetine increased neurogenesis</strong> (Kobayashi et al., 2010). But it did find evidence that fluoxetine caused mature neurons to take on immature functional characteristics, including an immature profile of synaptic plasticity and gene expression. Since Ki-67 and DCX are expressed in immature neurons, it is quite possible that dematured neurons increase their expression of Ki-67 and DCX. Importantly, Kobayashi and colleagues found that the dematured neurons still expressed NeuN. Altogether, it is not clear whether any of the methods typically used to assess neuronal growth and maturation are in fact responding only to apoptosis and dematuration.<br />
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The dematuration of neurons could be caused by the reduction of serotonin synthesis that occurs when the brain pushes back against the synaptic-enhancing effects of antidepressants (see Figure 1; Honig et al., 2009). Constant serotonergic input is needed to maintain the mature state of neurons (Azmitia, 2001). When serotonin synthesis is inhibited by parachlorophenylalanine, the cytoskeleton disassembles and synapses and dendrites are lost as neuronal processes retract, all of which indicate a return to an immature, undifferentiated state (Chen et al., 1994; Wilson et al., 1998; Azmitia, 2001).<br />
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Neuronal dematuration, particularly the retraction of neuronal processes, appears to play a role in triggering apoptosis (Azmitia, 2001), which could explain why antidepressants induce neuronal death. But the functional reason for why “dematuration” triggers apoptosis is not precisely clear. Apoptosis plays a role in removing damaged cells and maintaining homeostasis of differentiated tissues by regulating the equilibrium between the cell death and cell birth (Hengartner, 2000). To maintain tissue homeostasis, inappropriately proliferating cells must be detected and killed. Thus, the body must be able to differentiate between controlled and uncontrolled proliferation to appropriately direct apoptotic processes. Dematuration might be viewed as a signal that the neuron is changing into a malignant proliferative state, making it a target for apoptosis. Similarly, pharmacologically forcing mature neurons to go through a cell cycle causes them to die through apoptotic processes (Herrup et al., 2004), perhaps because the sudden change in proliferative status marks them as possible neoplasms.<br />
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Another way antidepressants could target neurons for apoptosis is by directly inflicting structural damage on them, since damaged neurons are often the targets of apoptosis (Cotran et al., 1998; Stergiou and Hengartner, 2004). We are only aware of one study that has tested whether antidepressants cause structural damage to neurons (Kalia et al., 2000). The study authors found that exposure to clinically relevant doses of fluoxetine (11.4 mg/kg, oral) or sertraline (28.6 mg/kg, oral) for only 4 days caused shortened axons, kinks, and swollen nerve terminals in the brains of otherwise healthy rodents. Such morphological changes are often taken as de facto evidence of neuronal damage (Kalia et al., 2000), and similar morphological features are thought to play a role in Parkinson’s disease (Cheng et al., 2010).<br />
<br />
<span style='color: #8B0000'><strong class='bbc'>Even if they do not directly promote neurogenesis, antidepressants could do so indirectly. When pharmacological interventions trigger neuronal apoptosis, the brain attempts to homeostatically compensate by upregulating neurogenesis.</strong></span> For instance, the induction of neuronal apoptosis in the hippocampus by kainic acid was subsequently followed by an upregulation in neurogenesis in the dentate gyrus and CA3 (Dong et al., 2003). The evidence of neurogenesis was not significant 18 days after the administration of kainic acid, but it was significant after 33 days. One study has shown that fluoxetine increased neuronal progenitor cells, but this was only 30 days after fluoxetine treatment had stopped (Encinas et al., 2006). It seems possible that antidepressants only induce neurogenesis indirectly as a result of the brain attempting to compensate for their apoptotic effects.<br />
<br />
In general, neuronal dematuration and damage are likely to interfere with proper brain functioning (Jackson, 2008, 2009). The Parkinsonian-like morphological characteristics caused by antidepressants could explain why antidepressants can induce tardive dyskinesia (involuntary, repetitive body movements; El-Mallakh et al., 2011). In rodents, repeated administration of antidepressants has been found to impair performance on a variety of learning tasks, including passive avoidance, elevated plus maze, and three-panel runway tasks (Ulak et al., 2006; Mutlu et al., 2011). In humans, a recent large epidemiological study has found that prolonged antidepressant use was associated with a 70% increase in the risk of mild cognitive impairment in elderly women and an increased risk of probable dementia (Goveas et al., 2011).<br />
<br />
<strong class='bbc'>Attention</strong><br />
A common symptom of depression is difficulty concentrating. This is due to the fact that depressed people often have persistent thoughts related to their episode called ruminations that are resistant to distraction and difficult to suppress. These ruminations interfere with the ability to concentrate on other things. In other words, depression clearly affects the allocation of limited attentional resources – particularly working memory (Andrews and Thomson Jr., 2009). These attentional resources are at least partly controlled by serotonin (Carter et al., 2005; Andrews and Thomson Jr., 2009). Consequently, antidepressants could disrupt attentional processes.<br />
<br />
One study has shown that the antidepressant sertraline decreases rumination in patients with dysthymia (Kelly et al., 2007). The reduction of rumination is widely thought to be beneficial, however the scientific literature suggests otherwise. Interventions that disrupt rumination (e.g., distraction, thought suppression) do tend to reduce symptoms in the short-term (Morrow and Nolen-Hoeksema, 1990; Nolen-Hoeksema and Morrow, 1993; Vickers and Vogeltanz-Holm, 2003; Park et al., 2004; Andrews et al., 2007), but they tend to increase symptoms in the long-term (Schmaling et al., 2002; Wenzlaff and Luxton, 2003; Hayes et al., 2005), suggesting that the short-term effects are palliative and do not address cause (Andrews and Thomson Jr., 2009). On the other hand, interventions that encourage rumination (e.g., writing about one’s strongest thoughts and feelings related to the episode) have been found to increase insight and shorten the duration of episodes (Hayes et al., 2005, 2007; Gortner et al., 2006; Graf et al., 2008), suggesting that these interventions address cause (Andrews and Thomson Jr., 2009). In other words, the disruption of rumination may not be productive.<br />
<br />
In any event, other research shows that antidepressants have negative effects on attention. When administered to non-depressed volunteers for several weeks, they tend to impair cognition (Hindmarch, 2009), particularly on tasks that require highly focused working memory or vigilance (Schmitt et al., 2001, 2002; Riedel et al., 2005).<br />
<br />
Of particular interest are experiments showing that antidepressants interfere with driving performance – a task that requires sustained vigilance (Ramaekers et al., 1995; O’Hanlon et al., 1998; Wingen et al., 2005). Recently, these researchers have extended their studies to examine the effects of antidepressants and other prescription drugs on real world driving accidents using a primary care database in the United Kingdom (Gibson et al., 2009). Using the year prior to drug exposure as a baseline [incident rate ratio (IRR) = 1], people who took SSRIs were at a greater risk of a driving accident in the 4-week period before first being prescribed the drug (IRR = 1.7, 95% CI = 1.47–1.99). This suggests that depression, anxiety, or other conditions that lead to antidepressant use are risk factors for accidents. In the first 4-week period of SSRI use, however, the risk of driving accidents returned to baseline (IRR = 0.92, 95% CI = 0.75–1.12). Taken in isolation, this would seem to suggest antidepressants protect against driving accidents. But SSRIs only reduce symptoms after several weeks of continuous use, and this was not a placebo-controlled study, so it is possible that the reduced risk was attributable to other effects of seeking help rather than the SSRI. Indeed, there was a similar reduction in driving accident risk in the 4-week period of first use of other drugs that interfere with attention (benzodiazepines, non-benzodiazepine hypnotics, beta-blockers, opioids, and antihistamines). After 4 weeks of use, however, the risk of driving accidents increased and remained increased for the duration of SSRI treatment (IRR = 1.16, 95% CI = 1.06–1.28). Once SSRI treatment was discontinued, the risk of accidents returned to baseline (IRR = 1.03, 95% CI = 0.92–1.16). Similarly, benzodiazepines, non-benzodiazepine hypnotics, opioids, and antihistamines showed an increased risk of accidents with prolonged use that returned to baseline upon discontinuation. Overall, the pattern suggests that SSRIs – as well as benzodiazepines, hypnotics, opioids, and antihistamines – increase the risk of driving accidents.<br />
<br />
Antidepressant use is associated with an increased risk of falling and bone fractures in the elderly (Cumming, 1998). This may also be attributable to the effects of antidepressants on attention, since avoiding falls requires vigilance in the elderly (Holtzer et al., 2007). However, the risk of bone fracture after a fall is probably increased because SSRIs lower bone mineral density (Moret et al., 2009).<br />
<br />
<strong class='bbc'>Gastrointestinal Function</strong><br />
Antidepressants that block the serotonin transporter can cause long-term increases in serotonin in the gut because transporter uptake is the primary mechanism for clearing serotonin. There are backup transporters that can take up serotonin in the gut, but they are less efficient and do not completely compensate for the loss of function of the serotonin transporter (Gershon and Tack, 2007). As discussed above, elevated levels of serotonin in the intestinal lining are associated with irritable bowel syndrome, characterized by pain, diarrhea, constipation, indigestion, bloating, and headache. Antidepressants that bind to the serotonin transporter could cause similar symptoms. In fact, pain, diarrhea, constipation, indigestion, bloating, and headache are common side effects of antidepressants, with frequencies ranging from 13.8 to 22.9% in one recent study (Zimmerman et al., 2010).<br />
<br />
<strong class='bbc'>Platelet Activation and the Clotting Process</strong><br />
Serotonin is involved in platelet activation, which is important in the clotting process (Heger and Collins, 2004). Platelets take in serotonin from the plasma via the serotonin transporter, and the serotonin molecules aggregate in the form of dense granules. When these granules are released, they activate processes that cause pro-aggregating proteins to be released from the platelet (Heger and Collins, 2004). Thus, the clotting process requires stores of serotonin in platelets.<br />
<br />
Platelet activation also plays a role in atherosclerosis and thrombosis (Gawaz et al., 2005; Weber, 2005). Research on depressed patients has shown that plasma levels of serotonin are reduced, platelet levels are elevated, and pro-aggregating processes are enhanced, possibly increasing the risk of cardiovascular events (Musselman et al., 2000; Bakkaloglu et al., 2008; Flock et al., 2010).<br />
<br />
Antidepressants that bind to the serotonin transporter, such as the SSRIs, can affect processes that depend on platelet activation. SSRIs block the uptake of serotonin into the platelet, which causes serum levels of serotonin to increase, platelet levels to decrease, and the inhibition of pro-aggregating processes (Musselman et al., 2000; Bakkaloglu et al., 2008; Flock et al., 2010).<br />
<strong class='bbc'><br />
Abnormal Bleeding</strong><br />
Consistent with inhibition of the clotting process, there is growing evidence that SSRIs increase the risk of abnormal bleeding. Antidepressant users are more likely to be hospitalized for abnormal bleeding (Meijer et al., 2004) and lose more blood during elective surgery (van Haelst et al., 2010). A recent population based case-control study in Denmark found that SSRI users are also at modestly increased risk of upper gastrointestinal bleeding, but the risk increases further when SSRIs are used in association with other anti-thrombotic drugs, such as NSAIDs (Table 4; Dall et al., 2009).<br />
....<br />
<br />
Depression is associated with an increased risk of cardiovascular disease, particularly myocardial infarction, coronary heart disease, and stroke (Van der Kooy et al., 2007; Pozuelo et al., 2009). As discussed above, these increased risks may be partly due to the effects of serotonin on platelet activation. <strong class='bbc'>Researchers have therefore speculated that antidepressants that bind to the serotonin transporter might be useful treatments for cardiac patients.</strong><br />
<br />
A recent study suggests that antidepressant use may help protect cardiac patients against cardiac related death while in the hospital (Hata et al., 2011). However, several limitations of the study are worth noting: specifically, the sample size was small, patients were not randomized to the antidepressant treatment, and it was not placebo-controlled. Indeed, the epidemiological literature on antidepressant effects on cardiac events is mixed. TCAs are generally associated with an increase in cardiac events, due to anticholinergic properties, NE reuptake blockade, and other effects (Cohen et al., 1996; Tata et al., 2005). However, studies on SSRIs have produced mixed results, with some showing a protective effect (Sauer et al., 2003; Monster et al., 2004; Schlienger et al., 2004), others showing no effect (Cohen et al., 2000; Meier et al., 2001), and still others showing an increased risk of cardiac events (Tata et al., 2005). Moreover, controlled trials have not, at least thus far, shown that SSRIs or psychotropic treatments have much effect on cardiac events in cardiac patients (Pozuelo et al., 2009).<br />
<br />
<strong class='bbc'>Cerebrovascular Events</strong><br />
In principle, the anticoagulant properties of SSRIs could reduce occurrences of stroke, which could also increase survival in stroke patients. One widely cited study has explored the mortality effects of antidepressant treatment in the aftermath of stroke (Jorge et al., 2003). One hundred and four stroke patients were randomly assigned to 3 months of antidepressant use (nortriptyline or fluoxetine) or placebo, and then followed up 9 years later. Antidepressant use was associated with a significantly higher 9-year survival rate, which seems to contradict the epidemiological findings discussed above. Unfortunately, the randomization was unsuccessful. The patients in the placebo group were significantly more likely to have diabetes, and they tended to be older, more obese, more likely to have atrial fibrillation, and more likely to have chronic pulmonary obstruction, all of which are serious problems that could have contributed to the higher mortality rate. This study has been criticized for failing to control for these differences and other errors (Sonis, 2004; Ghaemi and Thommi, 2010). If the study authors had re-analyzed the data controlling for these differences, they could have silenced the critics, but the authors declined to do so (Jorge et al., 2004).<br />
<br />
Moreover, any beneficial anticoagulant effects may be counter-balanced by negative anticoagulant effects, so the overall effect may be neutral. Indeed, large meta-analyses on the effects of other anticoagulants in stroke patients find that they have no net effect on mortality (Paciaroni et al., 2007; Sandercock et al., 2008). Anticoagulants decrease the risk of recurrent ischemic strokes, but this benefit is offset by the increased risk of intracranial hemorrhages. Similarly, the beneficial effects of anticoagulants in reducing the frequency of pulmonary emboli are counter-balanced by the increased risk of extracranial hemorrhages (Sandercock et al., 2008). Given the strength of this literature, it would be surprising if future research demonstrated an unambiguous positive net effect of antidepressants on mortality in stroke patients.<br />
<br />
It has also been argued that antidepressants could promote recovery from stroke (Kramer, 2011). A recent randomized clinical trial in France involved 118 patients with recent ischemic stroke and given early treatment with fluoxetine or placebo. The fluoxetine group showed greater motor recovery at a 90 day follow up (Chollet et al., 2011). Given our discussion above, it is unlikely that fluoxetine promoted recovery due to a direct promotion of neurogenesis. <strong class='bbc'>However, the clearance of damaged neurons through apoptosis, the dematuration of adult neurons (which might increase plasticity), and compensatory neurogenesis could have all contributed to greater recovery.</strong> Another way in which antidepressants could contribute to motor recovery after stroke is by enhancing extracellular serotonin levels, since serotonin plays a role in repetitive and gross motor activity (Jacobs and Fornal, 1995, 1999). In any event, while promising, the effects of antidepressants on motor recovery after stroke must be confirmed.<br />
<br />
<strong class='bbc'>Reproductive Function</strong><br />
Serotonin is an important regulator of various aspects of reproduction (Azmitia, 2001). While depression is itself associated with impaired sexual behavior, most antidepressants increase the degree of impaired sexual functioning in men and women, including various aspects of desire, arousal, and orgasm (Serretti and Chiesa, 2009). TCAs and at least some SSRIs have adverse effects on sperm motility, volume, and morphology (Hendrick et al., 2000; Tanrikut et al., 2010). There are also case reports that antidepressants may impair the affective dimensions of romantic love and attachment (Fisher and Thomson, 2006).<br />
<br />
<strong class='bbc'>Development</strong><br />
Serotonin plays important role in development (Azmitia, 2001), so antidepressants could affect developmental processes. Depression is common among pregnant and lactating mothers, and antidepressants are frequently prescribed (Moret et al., 2009; Ellfolk and Malm, 2010). SSRIs pass through the placental barrier and maternal milk, so antidepressants have the opportunity to affect the development of the fetus and the neonate (Moret et al., 2009; Ellfolk and Malm, 2010). When administered during pregnancy, SSRIs may increase the risk of a preterm delivery and low birth weight, although the results are mixed and inconclusive (Ellfolk and Malm, 2010). Some SSRIs – particularly paroxetine – also appear to be mild fetal teratogens (Bar-Oz et al., 2007; Cole et al., 2007). In one meta-analysis, first-term exposure to paroxetine was associated with an adjusted odds ratio of 1.89 for congenital defects (Cole et al., 2007). SSRI exposure during the third trimester has been associated with medication withdrawal symptoms in the newborn, including abnormal crying, irritability, and convulsions (Moret et al., 2009; Ellfolk and Malm, 2010). Third trimester SSRI exposure has also been associated with an increased risk of persistent pulmonary hypertension in the newborn, which is a serious condition with a mortality rate of about 10% (Ellfolk and Malm, 2010).<br />
<br />
Researchers are continuing to investigate the long-term developmental effects of prenatal and neonatal exposure to SSRIs (Ellfolk and Malm, 2010; Homberg et al., 2010). Recently, a study found that fetal exposure to SSRIs, particularly during the first trimester, was associated with an increased risk of developing autism spectrum disorders (Croen et al., 2011).<br />
<br />
<strong class='bbc'>Electrolyte Homeostasis</strong><br />
Serotonin is important in regulating water balance and electrolyte homeostasis (Johnson and Thunhorst, 1997; Elgot et al., 2009; Fonseca et al., 2009). The body normally keeps serum concentrations of sodium within 135–145 mEq/L, and hyponatremia occurs when levels fall below 130 mEq/L (Moret et al., 2009). Between 120 and 130 mEq/L, hyponatremia can cause nausea, headache, malaise and lethargy, muscle cramps, and disorientation. Lower levels are associated with seizures, coma, respiratory arrest, and death. Although the mechanism is unclear, SSRI use is associated with an increased risk of hyponatremia in the elderly, with studies showing an increased risk ranging from 0.5 to 32% (Jacob and Spinler, 2006). A large epidemiological study in the UK found that the risk of hyponatremia increased by 50% or more for several commonly prescribed antidepressants – citalopram, escitalopram, fluoxetine, and venlafaxine (Coupland et al., 2011). The harmful effects of hyponatremia may be exacerbated in patients who take diuretics and other medications (Moret et al., 2009).<br />
<br />
<strong class='bbc'>Suicidal Behavior</strong><br />
Depression is a risk factor for suicidal ideation and behavior, which suggests that antidepressants might reduce these risks. However, there is well-known controversy over whether antidepressant use reduces or increases suicidal behavior (Baldessarini et al., 2007; Reeves and Ladner, 2010). <strong class='bbc'>The largest, most recent meta-analyses of randomized, placebo-controlled trials generally find a positive association between antidepressant use and suicidal behavior.</strong> In one meta-analysis involving 702 trials and over 87,000 patients, SSRI use was associated with an increased risk of suicide attempts (Fergusson et al., 2005). In another meta-analysis of 342 randomized, double-blind, placebo-controlled trials submitted to the FDA involving over 99,000 patients, antidepressant use was associated with an increased risk of suicidal behavior in children, adolescents, and young adults (Stone et al., 2009). But it had no overall effect in adults aged 25–65, and it reduced the risk in the elderly. The reason for the age effect is unknown and worth further investigation. On the other hand, in a recent large epidemiological study in the UK that controlled for many important covariates, including depressive symptoms, patients over 65 years old who were not taking any antidepressant had a 0.25% chance of harming themselves or making a suicide attempt over a 1 year period (Coupland et al., 2011). However, the risk was higher for antidepressant use: 0.43% (TCAs), 0.55% (SSRIs), 1.30% (mirtazapine or venlafaxine). In short, the empirical literature is complex and it is not possible to make any strong conclusions based on it, except that antidepressant-induced suicide is rare (Baldessarini et al., 2007; Reeves and Ladner, 2010). In any event, uncertainty about the effects of antidepressants on suicidal behavior is germane to the costs and benefits of antidepressants.<br />
<br />
<strong class='bbc'>Other Side Effects</strong><br />
Reviews of other side effects are readily available (Brambilla et al., 2005; Stahl, 2008; Zimmerman et al., 2010), so we do not address them here. We merely note that 50–60% of antidepressant users report experiencing gastrointestinal, sexual, and other significant side effects (Brambilla et al., 2005; Serretti and Chiesa, 2009; Zimmerman et al., 2010), and that these side effects are unpleasant enough that they are one of the most common reasons for discontinuing them (Demyttenaere et al., 2001; Bull et al., 2002).<br />
<br />
<strong class='bbc'>Do Antidepressants Do More Harm than Good?</strong><br />
It is a principle of evolutionary medicine that the disruption of evolved adaptations will degrade biological functioning. Antidepressants disrupt the functioning of the homeostatic mechanisms that regulate serotonin throughout the body, and our review shows that antidepressants have adverse effects on every major system regulated by serotonin.<br />
<br />
Antidepressants increase the brain’s susceptibility to future episodes of depression (Andrews et al., 2011). They cause neuronal damage (Kalia et al., 2000), apoptosis (Post et al., 2000; Bartholoma et al., 2002; Sairanen et al., 2005), and dematuration (Kobayashi et al., 2010). The evidence that antidepressants directly promote neurogenesis is equivocal. It is quite possible that any neurogenesis that does take place is a compensatory response of the brain to antidepressant-induced apoptosis. Antidepressants can also cause problems in early development (Moret et al., 2009; Ellfolk and Malm, 2010), and they have adverse effects on sexual and romantic life (Fisher and Thomson, 2006; Serretti and Chiesa, 2009), and an increased risk of hyponatremia (Jacob and Spinler, 2006), bleeding (Meijer et al., 2004; Dall et al., 2009), and stroke (Smoller et al., 2009; Trifiro et al., 2010).<br />
<br />
The primary benefit of antidepressants is thought to be the reduction of depressive symptoms, a view that presupposes depression is the result of brain malfunction. An alternate view is that current diagnostic criteria do not accurately distinguish between true instances of disorder and normal, evolved emotional responses to stressors (Wakefield, 1992, 1999; Watson and Andrews, 2002; Hagen, 2003; Horwitz and Wakefield, 2007; Andrews and Thomson Jr., 2009; Andrews et al., 2011). <strong class='bbc'>This latter view suggests that the pharmacological disruption of depressive symptoms could negatively affect the ability to cope with or manage stressors.</strong> In any event, we reviewed several findings indicating that the depressed brain pushes back against the symptom reducing effects of antidepressant medications (in patients meeting diagnostic criteria for MDD) in ways indicating that depressive symptoms are under homeostatic control. Thus, even by the debatable metric of symptom reduction, antidepressants are of limited benefit.<br />
<br />
<span style='color: #8B0000'><strong class='bbc'>The limited symptom reducing effects of antidepressants, and the large number of adverse health effects, suggests that antidepressants could generally do more harm than good</strong></span> – though they may be helpful for certain populations (e.g., those with brain cancers or recovering from stroke). However, it is undoubtedly true that the list of beneficial and harmful effects of antidepressants that we have listed in this review is incomplete. So, while we had difficulty finding strong evidence of beneficial effects, it is possible that antidepressants have a significant beneficial effect not yet identified. Moreover, since the benefits and costs are in different currencies, it is difficult to directly compare them. Finally, the effects differ in their frequency and their effect size, and some of them are rare. In some instances, we simply do not yet have information on effect size or frequency (e.g., antidepressant triggered apoptosis). Each of these issues could make it more difficult to conclude what the overall effect of antidepressants is.<br />
<br />
These problems can largely be circumvented by examining the effects of antidepressants on mortality. Mortality data naturally synthesizes the multiple effects of a drug on biological functioning, including those not considered or identified. If the beneficial effects of antidepressants in reducing any harmful symptoms outweigh the detrimental effects in disrupting homeostatic mechanisms, then they should increase survival. Conversely, if the harmful effects of antidepressants outweigh the beneficial effects, then they should decrease survival.<br />
<br />
Depression itself is associated with an increased risk of death, primarily through its effects on cardiovascular disease (Van der Kooy et al., 2007; Pozuelo et al., 2009). But does antidepressant use increase or decrease the risk of death? Three recent, large, prospective epidemiological studies have found that, even after controlling for depressive symptoms, antidepressant use is associated with an increased risk of death in the elderly (Smoller et al., 2009; Almeida et al., 2010; Coupland et al., 2011).<br />
<br />
The most recent study involved patients in the United Kingdom over 65 years old (average age = 75) who had received a diagnosis of depression between 1996 and 2007 (Coupland et al., 2011). The 1-year risk of death after controlling for a large number of covariates (including the severity of depressive symptoms) was as follows: 7.04% (no antidepressant use), 8.12% (TCAs), 10.61% (SSRIs), and 11.43% (other antidepressants). Put another way, out of 1000 elderly people taking antidepressants, the number of deaths per year caused by antidepressants was estimated to be 10.8 (for TCAs), 35.7 (for SSRIs), and 43.9 (for other antidepressants).<br />
<br />
Another study estimated that antidepressants caused the deaths of roughly 5 in 1000 elderly women per year, with no differences in the class of antidepressant (Smoller et al., 2009). The lower estimate in this study could be due to the fact that the women were somewhat younger (age range = 50–79) and perhaps more resilient to the harmful effects of antidepressants.<br />
<br />
In comparison, rofecoxib (Vioxx) was pulled off the market amidst evidence that it caused about 7.2 cardiovascular events per 1000 patient-years and a lower risk of death (Bresalier et al., 2005). An important limitation is that the Vioxx studies were randomized, placebo-controlled experiments, while the antidepressant studies were not. But <span style='color: #8B0000'><strong class='bbc'>the antidepressant-mortality surveys nevertheless suggest that antidepressants are increasing the risk of death, a point that can only be definitively disproved by conducting controlled experiments on the mortality effects of antidepressants</strong></span>.<br />
<br />
Another important limitation of the antidepressant-mortality studies is the fact that they deal exclusively with the elderly. It is possible that young adults who take antidepressants are more resilient to their harmful effects and will experience a much smaller risk of death than the elderly, although this should not simply be assumed. Moreover, many people take antidepressants for years throughout their adult life, and it is unclear what the cumulative impact is over years of use. <span style='color: #8B0000'><strong class='bbc'>The cumulative effects of antidepressants on the integrity of the brain and peripheral processes could shorten the lifespan considerably. Current research is unable to rule out this possibility.</strong></span><br />
<br />
<strong class='bbc'>Conclusion</strong><br />
We have reviewed a great deal of evidence of the effects of antidepressants on serotonergic processes throughout the body. Some of the effects are widely known, but they have been largely ignored in debates about the utility of antidepressants. Indeed, it is widely believed that antidepressant medications are both safe and effective; however, this belief was formed in the absence of adequate scientific verification. <span style='color: #8B0000'><strong class='bbc'>The weight of current evidence suggests that, in general, antidepressants are neither safe nor effective; they appear to do more harm than good.</strong></span><br />
<br />
Further research on their effects is clearly needed. We note a few areas of particular importance. <span style='color: #8B0000'><strong class='bbc'>First, after antidepressant discontinuation some people report depressive symptoms that are more severe than the initial symptoms that prompted antidepressant treatment. This should be formally tested, and if confirmed it would provide further support for the homeostatic rebound argument we presented above.</strong></span> Second, more research should be conducted on how best to interpret the BrdU signal in the context of antidepressant use. Does it reflect apoptosis, neurogenesis, or both? Particularly helpful would be studies that examine the temporal relationship between the BrdU signal and independent measures of apoptosis and neurogenesis. Third, more studies should examine the morphological changes in neurons that take place with repeated administration of serotonergic antidepressants (Kalia et al., 2000). Fourth, greater research should be devoted to exploring the possibility that the effects of prolonged antidepressant use on neuronal integrity may cause cognitive decline and dementia (Jackson, 2008; Goveas et al., 2011). Finally, greater research should be devoted to the effects of antidepressants on longevity. The quickest experiments could be done on rodents. That such studies were not done decades ago, before antidepressants were approved for widespread use, is troublesome.<br />
<br />
Such research will give us a better picture of the effects of antidepressants on overall functioning. Nevertheless, from a legal, ethical, and public health perspective, <span style='color: #8B0000'><strong class='bbc'>it now seems prudent, on the basis of existing evidence, for individual practitioners and professional medical organizations to revise informed consent guidelines and reconsider the status of antidepressants in standards of care for many diagnoses and as the immediate front line treatment for depression</strong></span>. Some patients may be more likely to benefit from antidepressants and less likely to suffer adverse effects, but identifying them will require further research and greater understanding of the etiology of depression.<br />
<br />
<strong class='bbc'>Patients should be informed that current research suggests that unless they have very severe depression, the symptom reducing effects of antidepressants are modest and are not considered clinically significant. Unless there are rapid-onset adverse side effects, antidepressant therapy usually lasts for months. Patients should be advised that prolonged use might cause mild cognitive impairment and interfere with tasks that require highly focused concentration, such as driving, which may increase the risk of accidents. Patients should also be advised that antidepressants might trigger even more severe depressive episodes when they are discontinued. All patients should be advised of the possible bleeding risks, and physicians should exercise particular caution in prescribing these drugs in conjunction with other diuretic or anti-thrombotic medications. The evidence of harm is strongest in the elderly, who should be advised of the risks of falling, hyponatremia, bleeding, stroke, and death.</strong><br />
<br />
<strong class='bbc'>Conflict of Interest Statement</strong><br />
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br />
Acknowledgments<br />
<br />
Paul W. Andrews and Michael C. Neale were supported, in part, by NIH grant DA-018673 (PI: Michael C. Neale). The authors thank Grace Jackson, Jack Hettema, Reuven Dukas, Irving Kirsch, Steve Hollon, Gautam Ullal and Stefanie Northover for helpful conversations or comments.<br />
<br />
<strong class='bbc'>Abbreviations</strong><br />
MAOIs, monoamine oxidase inhibitors; MDD, major depressive disorder; NSAIDs, non-steroidal anti-inflammatory drugs; SNRIs, serotonin norepinephrine reuptake inhibitors; SSRIs, selective serotonin reuptake inhibitors; TCAs, tricyclic antidepressants.]]></description>
		<pubDate>Wed, 25 Apr 2012 18:00:14 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2171-andrews-2012-primum-non-nocere-an-evolutionary-analysis-of-whether-antidepressants-do-more-harm-than-good/</guid>
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		<title>Renoir 2012 Drug withdrawal-induced depression: serotonergic and plasticity changes in animal models.</title>
		<link>http://survivingantidepressants.org/index.php?/topic/2155-renoir-2012-drug-withdrawal-induced-depression-serotonergic-and-plasticity-changes-in-animal-models/</link>
		<description><![CDATA[A common result of antidepressant withdrawal, frequently mistaken for relapse calling for perpetual medication.<br />
<br />
Neurosci Biobehav Rev. 2012 Jan;36(1):696-726. Epub 2011 Oct 20.<br />
<strong class='bbc'>Drug withdrawal-induced depression: serotonergic and plasticity changes in animal models.</strong><br />
Renoir T, Pang TY, Lanfumey L.<br />
<br />
Source<br />
<br />
Inserm UMR S894, F-75013 Paris, France. tibo.renoir@gmail.com<br />
<br />
Abstract at <a href='http://www.ncbi.nlm.nih.gov/pubmed/22037449' class='bbc_url' title='External link' rel='nofollow external'>http://www.ncbi.nlm.nih.gov/pubmed/22037449</a><br />
<br />
This review discusses recent research of mood disorders associated with the cessation of psychoactive substances, with an emphasis on preclinical studies that have been published in the last decade. Animal models exhibiting anhedonic and depressive-like behaviours associated with drug withdrawal have been used to study the neurobiology of mood disorders and have culminated in the identification of novel targets for the treatment of depressive-like symptoms. This review will introduce the behavioural as well as the neurochemical and plasticity changes in depressed patients and several animal models of depression. Following, we provide a more in-depth discussion of the role of serotonergic neurotransmission and Hypothalamic-Pituitary-Adrenal (HPA) axis regulation as well as the neurogenic changes occurring after chronic drug intake focusing on the withdrawal associated depression. Although we mainly focus on animal data, some relevant human studies are also discussed. Establishing the commonalities of depression and drug-seeking behaviour will allow us to elucidate the factors driving the high co-morbidity between mood disorders and drug dependence.<br />
<br />
<br />
Full text requested from authors. Will post when I get it.]]></description>
		<pubDate>Sat, 21 Apr 2012 17:30:09 +0000</pubDate>
		<guid>http://survivingantidepressants.org/index.php?/topic/2155-renoir-2012-drug-withdrawal-induced-depression-serotonergic-and-plasticity-changes-in-animal-models/</guid>
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