Between 2001 and 2013, marijuana use among US adults more than doubled, many states legalized marijuana use, and attitudes toward marijuana became more permissive. 1 In aggregated 2007-2012 data, 3.9% of pregnant women and 7.6% of nonpregnant reproductiveaged women reported pastmonth marijuana use. 2 Although the evidence is mixed, human and animal studies suggest that prenatal marijuana exposure may be associated with poor offspring outcomes (eg, low birth weight, impaired neurodevelopment). 3 The American College of Obstetricians and Gynecologists recommends that pregnant women and women contemplating pregnancy be screened for and discouraged from using marijuana and other substances. 4 Whether marijuana use has changed over time among pregnant and nonpregnant reproductive-aged women is unknown.

Aims To prepare for DSM-V, the structure of DSM-IV alcohol dependence and abuse criteria and a proposed additional criterion, at-risk drinking, require study in countries with low per-capita consumption, and comparison of current and lifetime results within the same sample. We investigated DSM-IV Alcohol Use Disorder (AUD) criteria in Israel, where per-capita alcohol consumption is low. Methods Household residents selected from the Israeli population register (N=1,338) were interviewed with the AUDADIS. Item Response Theory analyses were conducted using MPlus, and diagnostic thresholds examined with the kappa statistic. Results Dependence and abuse criteria fit a unidimensional model interspersed across the severity continuum, for both current and lifetime timeframes. Legal problems were rare and did not improve model fit. Weekly at-risk drinking reflected greater severity than in U.S. samples. When dependence and abuse criteria were combined, a diagnostic threshold of ≥3 criteria produced the best agreement with DSM-IV diagnoses (kappa>0.80). Conclusion Consistent with other studies, alcohol dependence and abuse criteria reflected a latent variable representing a single AUD. Results suggested little effect in removing legal problems and little gained by adding weekly at-risk drinking. Results contribute to knowledge about AUD criteria by examining them in a low-consumption country.

Aim Concurrently with increasingly permissive attitudes towards marijuana use and its legalization, the prevalence of marijuana use has increased in recent years in the U.S. Substance use is generally more prevalent in men than women, although for alcohol, the gender gap is narrowing. However, information is lacking on whether time trends in marijuana use differ by gender, or whether socioeconomic status in the context of the Great Recession may affect these changes. Methods Using repeated cross-sectional data from the National Survey on Drug Use and Health (2002–2014), we examined changes over time in prevalence of past-year marijuana use by gender, and whether gender differences varied across income levels. After empirically determining a change point in use in 2007, we used logistic regression to test interaction terms including time, gender, and income level. Results Prevalence of marijuana use increased for both men (+4.0%) and women (+2.7%) from 2002 to 2014, with all of the increase occurring from 2007 to 2014. Increases were greater for men, leading to a widening of the gender gap over time (p < 0.001). This divergence occurred primarily due to increased prevalence among men in the lowest income level (+6.2%) from 2007 to 2014. Conclusion Our findings are consistent with other studies documenting increased substance use during times of economic insecurity, especially among men. Corresponding with the Great Recession and lower employment rate beginning in 2007, low-income men showed the greatest increases in marijuana use during this period, leading to a widening of the gender gap in prevalence of marijuana use over time.

Background.-Due to significant comorbidity and impairment associated with cannabis use and cannabis use disorder, understanding time trends in cannabis use and cannabis use disorder is an important public health priority.Objectives.-To identify trends in cannabis use and cannabis use disorder overall, and by sociodemographic subgroup.Methods.-Narrative review of published findings on trends in cannabis use and cannabis use disorders in data from repeated cross-sectional US general population surveys. In addition, in National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; and NESARC-III (2012 data, logistic regression was used to examine whether trends differed between subgroups of adults.Results.-The review showed that in adults, cannabis use increased over the past decade overall and within sociodemographic subgroups (gender, age, race/ethnicity, income, education, marital status, urbanicity, region, pregnancy status, disability status), with greater increases in men and disabled adults. Most sources also indicated significant increases in cannabis use disorders. New analysis showed significantly greater increases in adult cannabis use and cannabis use disorder in men (p≤.0001); young adults (p<.05); Blacks (vs. Whites, p<.01); low income groups (p<.001); never-married p≤.0001), and urban residents (p<.05). In adolescents, cannabis use generally decreased, although recent increases were observed in older and non-White adolescents.Conclusion.-Cannabis use and cannabis use disorder are increasing in adults, with specific sociodemographic groups at higher risk, and may be increasing in some adolescent subgroups.

Background Little is known about the procedural validity of lay-administered, fully-structured assessments of depressive, anxiety and post-traumatic stress (PTSD) disorders in the general population as determined by comparison to clinical re-appraisal, and whether this differs between current regular substance abusers and others. We evaluated the procedural validity of the Alcohol Use Disorder and Associated Disabilities Interview Schedule, DSM-5 Version (AUDADIS-5) assessment of these disorders through clinician re-interviews. Methods Test-retest design among respondents from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III): (264 current regular substance abusers, 447 others). Clinicians blinded to AUDADIS-5 results administered the semi-structured Psychiatric Research Interview for Substance and Mental Disorders, DSM-5 version (PRISM-5). AUDADIS-5/PRISM-5 concordance was indicated by kappa (κ) for diagnoses and intraclass correlation coefficients (ICC) for dimensional measures (DSM-5 symptom or criterion counts). Results were compared between current regular substance abusers and others. Results AUDADIS-5 and PRISM-5 concordance for DSM-5 depressive disorders, anxiety disorders and PTSD was generally fair to moderate (κ =0.24–0.59), with concordance on dimensional scales much better (ICC=0.53–0.81). Concordance differed little between regular substance abusers and others. Conclusions AUDADIS-5/PRISM-5 concordance indicated procedural validity for the AUDADIS-5 among substance abusers and others, suggesting that AUDADIS-5 diagnoses of DSM-5 depressive, anxiety and PTSD diagnoses are informative measures in both groups in epidemiologic studies. The stronger concordance on dimensional measures supports the current movement towards dimensional psychopathology measures, suggesting that such measures provide important information for research in the NESARC-III and other datasets, and possibly for clinical purposes as well.

Aims Evidence-based changes planned for DSM-5 substance use disorders (SUDs) include combining dependence and three of the abuse criteria into one disorder and adding a criterion indicating craving. Because DSM-IV did not include a category for nicotine abuse, little empirical support is available for aligning the nicotine use disorder criteria with the DSM-5 criteria for other SUDs. Design Latent variable analyses, likelihood ratio tests (LRT) and bootstrap tests were used to explore the unidimensionality, psychometric properties and information of the nicotine criteria. Setting, Participants A sample of household residents selected from the Israeli population register yielded 727 lifetime cigarette smokers. Measurements DSM-IV nicotine dependence criteria and proposed abuse and craving criteria, assessed with a structured interview. Findings Three abuse criteria (hazardous use, social/interpersonal problems, and neglect roles) were prevalent among smokers, formed a unidimensional latent trait with nicotine dependence criteria, were intermixed with dependence criteria across the severity spectrum, and significantly increased the diagnostic information over the dependence-only model. LRT results also supported including the abuse criteria (Χ²₃=259.63, p<0.0001). A craving criterion was shown to fit well with the other criteria. Conclusion Similar to findings from research on other substances, nicotine dependence, abuse, and craving criteria formed a single factor. The results support alignment of nicotine criteria with those for alcohol and drug use disorders in DSM-5.

Objectives: Obesity, type II diabetes, hypertension, and dyslipidemia are major causes of morbidity and mortality throughout the world. Though these disorders often cluster in individuals and families and are collectively known as syndrome X, the basis for this aggregation is not well understood. To further understand the pathogenesis of syndrome X, a comprehensive epidemiological study was undertaken on the Pacific Island of Kosrae, Federated States of Micronesia (FSM). Methods: The entire adult (>20 years of age) population of Kosrae underwent a clinical evaluation that included a questionnaire that noted the participants’ sex, family data including listing of biological parents, siblings, and children, smoking status, village of residence, age and health status. The medical evaluation included: anthropometric measures (weight, height, waist, hip), serum chemistries (leptin, fasting blood sugar (FBS), insulin, total cholesterol (TC), triglycerides (TG), and apolipoproteins B and A-I (apo B and apo A-I) and blood pressure (BP) measurements. Results: Obesity (BMI ≥35) was found in 24%, diabetes (FBS ≥126 or 2-hour oral glucose tolerance test ≥200) in 12%, hypertension (SBP ≥140 or DBP ≥90) in 17%, and dyslipidemia (TC ≥240 or TG ≥200 or apo B ≥120 or apo A-I ≤88) in 20% of the population. Significant covariate effects after multivariate analysis were as follows: sex affected the frequency of all four disorders, parity affected the frequency of dyslipidemia, smoking affected the frequency of obesity and diabetes, village of residence affected the frequency of obesity, hypertension, and dyslipidemia, and age affected the frequency of all four disorders. Factor analysis identified four independent factors that explained 73% of the total variance of the entire data set: factor 1 (weight, waist, leptin, insulin, and TG), factor 2 (TC, TG, apo B, apo A-I, and insulin), factor 3 (systolic and diastolic BP, FBS, waist and weight), and factor 4 (apo A-I, TG, leptin, and weight). Conclusions: This population-based study on the Island of Kosrae suggests that syndrome X is a composite of 4 independent factors: obesity with diabetes and hypertriglyceridemia, combined hyperlipidemia with diabetes, hypertension with obesity and diabetes, and increased HDL-low TG with thinness and high leptin. Further studies to identify the genetic components of these factors as well as the individual traits are under way.

Adult cannabis use has increased in the United States since 2002, particularly after 2007, contrasting with stable/declining trends among youth. We investigated whether specific age groups disproportionately contributed to changes in daily and nondaily cannabis use trends. Method: Participants ages 12 and older (N = 722,653) from the 2002-2014 National Survey on Drug Use and Health reported past-year cannabis use frequency (i.e., daily = ≥300 days/year; nondaily = 1-299 days/year; none). Multinomial logistic regression was used to model change in past-year daily and nondaily cannabis use prevalence by age group (i.e., 12-17, 18-25, 26-34, 35-49, 50-64, ≥65), before and after 2007. Multinomial logistic regressions estimated change in relative odds of cannabis use frequency over time by age, adjusting for other sociodemographics. Results: Daily cannabis use prevalence decreased in ages 12-17 before 2007 and increased significantly across adult age categories only after 2007. Increases did not differ significantly across adult ages 18-64 and ranged between 1 and 2 percentage points. Nondaily cannabis use decreased among respondents ages 12-25 and 35-49 before 2007 and increased across adult age categories after 2007, particularly among adults 26-34 (i.e., 4.5 percentage points). Adjusted odds of daily versus nondaily cannabis use increased after 2007 for ages 12-64. Conclusions: Increases in daily and nondaily cannabis use prevalence after 2007 were specific to adult age groups in the context of increasingly permissive cannabis legislation, attitudes, and lower risk perception. Although any cannabis use may be decreasing among teens, relative odds of more frequent use among users increased in ages 12-64 since 2007. Studies should assess not only any cannabis use, but also frequency of use, to target prevention efforts of adverse effects of cannabis that are especially likely among frequent users.