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Olfson M.,Columbia University | Olfson M.,New York State Psychiatric InstituteNY | King M.,Yale University | Schoenbaum M.,National Institute of Mental Health
JAMA Psychiatry | Year: 2015

IMPORTANCE Despite concerns about rising treatment of young people with antipsychotic medications, little is known about trends and patterns of their use in the United States. OBJECTIVE To describe antipsychotic prescription patterns among young people in the United States, focusing on age and sex. DESIGN, SETTING, AND PARTICIPANTS A retrospective descriptive analysis of antipsychotic prescriptions among patients aged 1 to 24 years was performed with data from calendar years 2006 (n = 765 829), 2008 (n = 858 216), and 2010 (n = 851 874), including a subset from calendar year 2009 with service claims data (n = 53 896). Data were retrieved from the IMS LifeLink LRx Longitudinal Prescription database, which includes approximately 60%of all retail pharmacies in the United States. Denominators were adjusted to generalize estimates to the US population. MAIN OUTCOMES AND MEASURES The percentage of young people filling 1 or more antipsychotic prescriptions during the study year by sex and age group (younger children, 1-6 years; older children, 7-12 years; adolescents, 13-18 years; and young adults, 19-24 years) was calculated. Among young people with antipsychotic use, percentages with specific clinical psychiatric diagnoses and 1 or more antipsychotic prescriptions from a psychiatrist and from a child and adolescent psychiatrist were also determined. RESULTS The percentages of young people using antipsychotics in 2006 and 2010, respectively, were 0.14%and 0.11% for younger children, 0.85%and 0.80% for older children, 1.10% and 1.19% for adolescents, and 0.69% and 0.84%for young adults. In 2010, males were more likely than females to use antipsychotics, especially during childhood and adolescence: 0.16%vs 0.06%for younger children, 1.20%vs 0.44%for older children, 1.42% vs 0.95%for adolescents, and 0.88%vs 0.81% for young adults. Among young people treated with antipsychotics in 2010, receiving a prescription from a psychiatrist was less common among younger children (57.9%) than among other age groups (range, 70.4%-77.9%). Approximately 29.3%of younger children treated with antipsychotics in 2010 received 1 or more antipsychotic prescriptions from a child and adolescent psychiatrist. Among young people with claims for mental disorders in 2009 who were treated with antipsychotics, the most common diagnoses were attention-deficit/hyperactivity disorder in younger children (52.5%), older children (60.1%), and adolescents (34.9%) and depression in young adults (34.5%). CONCLUSIONS AND RELEVANCE Antipsychotic use increased from 2006 to 2010 for adolescents and young adults but not for children aged 12 years or younger. Peak antipsychotic use in adolescence, especially among boys, and clinical diagnosis patterns are consistent with management of developmentally limited impulsive and aggressive behaviors rather than psychotic symptoms. Copyright 2015 American Medical Association. All rights reserved. Source


Simpson H.B.,Columbia University | Simpson H.B.,New York State Psychiatric InstituteNY | Reddy Y.C.J.,National Institute of Mental Health and Neuro Sciences
Revista Brasileira de Psiquiatria | Year: 2014

Since the approval of the ICD-10 by the World Health Organization (WHO) in 1990, global research on obsessive-compulsive disorder (OCD) has expanded dramatically. This article evaluates what changes may be needed to enhance the scientific validity, clinical utility, and global applicability of OCD diagnostic guidelines in preparation for ICD-11. Existing diagnostic guidelines for OCD were compared. Key issues pertaining to clinical description, differential diagnosis, and specifiers were identified and critically reviewed on the basis of the current literature. Specific modifications to ICD guidelines are recommended, including: clarifying the definition of obsessions (i.e., that obsessions can be thoughts, images, or impulses/urges) and compulsions (i.e., clarifying that these can be behaviors or mental acts and not calling these ‘‘stereotyped’’); stating that compulsions are often associated with obsessions; and removing the ICD-10 duration requirement of at least 2 weeks. In addition, a diagnosis of OCD should no longer be excluded if comorbid with Tourette syndrome, schizophrenia, or depressive disorders. Moreover, the ICD-10 specifiers (i.e., predominantly obsessional thoughts, compulsive acts, or mixed) should be replaced with a specifier for insight. Based on new research, modifications to the ICD-10 diagnostic guidelines for OCD are recommended for ICD-11. © 2014 Associação Brasileira de Psiquiatria. Source


Hasin D.S.,Columbia University | Hasin D.S.,New York State Psychiatric InstituteNY | Saha T.D.,U.S. National Institutes of Health | Kerridge B.T.,Columbia University | And 9 more authors.
JAMA Psychiatry | Year: 2015

IMPORTANCE Laws and attitudes toward marijuana in the United States are becoming more permissive but little is known about whether the prevalence rates of marijuana use and marijuana use disorders have changed in the 21st century. OBJECTIVE To present nationally representative information on the past-year prevalence rates of marijuana use, marijuana use disorder, and marijuana use disorder among marijuana users in the US adult general population and whether this has changed between 2001-2002 and 2012-2013. DESIGN, SETTING, AND PARTICIPANTS Face-to-face interviews conducted in surveys of 2 nationally representative samples of US adults: the National Epidemiologic Survey on Alcohol and Related Conditions (data collected April 2001-April 2002; N = 43 093) and the National Epidemiologic Survey on Alcohol and Related Conditions-III (data collected April 2012-June 2013; N = 36 309). Data were analyzed March through May 2015. MAIN OUTCOMES AND MEASURES Past-year marijuana use and DSM-IV marijuana use disorder (abuse or dependence). RESULTS The past-year prevalence of marijuana use was 4.1% (SE, 0.15) in 2001-2002 and 9.5% (SE, 0.27) in 2012-2013, a significant increase (P < .05). Significant increases were also found across demographic subgroups (sex, age, race/ethnicity, education, marital status, income, urban/rural, and region). The past-year prevalence of DSM-IV marijuana use disorder was 1.5% (0.08) in 2001-2002 and 2.9% (SE, 0.13) in 2012-2013 (P < .05). With few exceptions, increases in the prevalence of marijuana use disorder between 2001-2002 and 2012-2013 were also statistically significant (P < .05) across demographic subgroups. However, the prevalence of marijuana use disorder among marijuana users decreased significantly from 2001-2002 (35.6%; SE, 1.37) to 2012-2013 (30.6%; SE, 1.04). CONCLUSIONS AND RELEVANCE The prevalence of marijuana use more than doubled between 2001-2002 and 2012-2013, and there was a large increase in marijuana use disorders during that time. While not all marijuana users experience problems, nearly 3 of 10 marijuana users manifested a marijuana use disorder in 2012-2013. Because the risk for marijuana use disorder did not increase among users, the increase in prevalence of marijuana use disorder is owing to an increase in prevalence of users in the US adult population. Given changing laws and attitudes toward marijuana, a balanced presentation of the likelihood of adverse consequences of marijuana use to policy makers, professionals, and the public is needed. Copyright © 2015 American Medical Association. All rights reserved. Source


Grant B.F.,U.S. National Institutes of Health | Saha T.D.,U.S. National Institutes of Health | June Ruan W.,U.S. National Institutes of Health | Goldstein R.B.,U.S. National Institutes of Health | And 8 more authors.
JAMA Psychiatry | Year: 2016

IMPORTANCE Current information on the prevalence and sociodemographic and clinical profiles of individuals in the general population with DSM-5 drug use disorder (DUD) is limited. Given the present societal and economic context in the United States and the new diagnostic system, up-To-date national information is needed from a single uniform data source. OBJECTIVE To present nationally representative findings on the prevalence, correlates, psychiatric comorbidity, disability, and treatment of DSM-5 DUD diagnoses overall and by severity level. DESIGN, SETTING, AND PARTICIPANTS In-person interviewswere conducted with 36 309 adults in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III, a cross-sectional representative survey of the United States. The household response rate was 72%; person-level response rate, 84%; and overall response rate, 60.1%. Data were collected April 2012 through June 2013 and analyzed from February through March 2015. MAIN OUTCOMES AND MEASURES Twelve-month and lifetime DUD, based on amphetamine, cannabis, club drug, cocaine, hallucinogen, heroin, nonheroin opioid, sedative/tranquilizer, and/or solvent/inhalant use disorders. RESULTS Prevalences of 12-month and lifetime DUD were 3.9% and 9.9%, respectively. Drug use disorder was generally greater among men, white and Native American individuals, younger and previously or never married adults, those with lower education and income, and those residing in theWest. Significant associations were found between 12-month and lifetime DUD and other substance use disorders. Significant associations were also found between any 12-month DUD and major depressive disorder (odds ratio [OR], 1.3; 95%CI, 1.09-1.64), dysthymia (OR, 1.5; 95%CI, 1.09-2.02), bipolar I (OR, 1.5; 95%CI, 1.06-2.05), posttraumatic stress disorder (OR, 1.6; 95%CI, 1.27-2.10), and antisocial (OR, 1.4; 95%CI, 1.11-1.75), borderline (OR, 1.8; 95%CI, 1.41-2.24), and schizotypal (OR, 1.5; 95%CI, 1.18-1.87) personality disorders. Similar associations were found for any lifetime DUD with the exception that lifetime DUD was also associated with generalized anxiety disorder (OR, 1.3; 95%CI, 1.06-1.49), panic disorder (OR, 1.3; 95%CI, 1.06-1.59), and social phobia (OR, 1.3; 95%CI, 1.09-1.64). Twelve-month DUD was associated with significant disability, increasing with DUD severity. Among respondents with 12-month and lifetime DUD, only 13.5%and 24.6%received treatment, respectively. CONCLUSIONS AND RELEVANCE DSM-5 DUD is a common, highly comorbid, and disabling disorder that largely goes untreated in the United States. These findings indicate the need for additional studies to understand the broad relationships in more detail; estimate present-day economic costs of DUDs; investigate hypotheses regarding etiology, chronicity, and treatment use; and provide information to policy makers about allocation of resources for service delivery and research. Findings also indicate an urgent need to destigmatize DUD and educate the public, clinicians, and policy makers about its treatment to encourage affected individuals to obtain help. Copyright 2016 American Medical Association. All rights reserved. Source


Geliebter A.,The New School | Geliebter A.,Touro College | Pantazatos S.P.,New York State Psychiatric InstituteNY | Pantazatos S.P.,Columbia University | Hirsch J.,Yale University
Appetite | Year: 2016

Obese individuals show altered neural responses to high-calorie food cues. Individuals with binge eating [BE], who exhibit heightened impulsivity and emotionality, may show a related but distinct pattern of irregular neural responses. However, few neuroimaging studies have compared BE and non-BE groups. To examine neural responses to food cues in BE, 10 women with BE and 10 women without BE (non-BE) who were matched for obesity (5 obese and 5 lean in each group) underwent fMRI scanning during presentation of visual (picture) and auditory (spoken word) cues representing high energy density (ED) foods, low-ED foods, and non-foods. We then compared regional brain activation in BE vs. non-BE groups for high-ED vs. low-ED foods. To explore differences in functional connectivity, we also compared psychophysiologic interactions [PPI] with dorsal anterior cingulate cortex [dACC] for BE vs. non-BE groups. Region of interest (ROI) analyses revealed that the BE group showed more activation than the non-BE group in the dACC, with no activation differences in the striatum or orbitofrontal cortex [OFC]. Exploratory PPI analyses revealed a trend towards greater functional connectivity with dACC in the insula, cerebellum, and supramarginal gyrus in the BE vs. non-BE group. Our results suggest that women with BE show hyper-responsivity in the dACC as well as increased coupling with other brain regions when presented with high-ED cues. These differences are independent of body weight, and appear to be associated with the BE phenotype. © 2015 Elsevier Ltd. Source

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