Age differences in patterns of cannabis use among an online US sample of adults who consume cannabis frequently.

Background: Cannabis use is increasing among middle-aged and older US adults, populations that are particularly vulnerable to the adverse effects of cannabis. Risks for adverse effects differ by cannabis use patterns, which have become increasingly heterogeneous. Nevertheless, little is known about age differences in such patterns.Objective: To investigate age differences in cannabis use patterns, comparing younger (age 18-49), middle-aged (age 50-64), and older adults (age ≥65).Methods: A total of 4,151 US adults with past 7-day cannabis consumption completed an online survey (35.1% male; 60.1% female; 4.8% identified as "other"). Regression models examined age differences in cannabis use patterns.Results: Compared to younger adults, middle-aged and older adults were more likely to consume cannabis during evening hours (50-64: adjusted odds ratio [aOR] = 2.98, 95% CI 2.24-3.96; ≥65: aOR = 4.23, 95 CI 2.82-6.35); by only one method (50-64: aOR = 1.67, 95% CI 1.34-2.09; ≥65: aOR = 3.38, 95 CI 2.24-5.09); primarily by smoking as the only method (50-64: aOR = 1.52, 95% CI 1.29-1.78; ≥65: aOR = 2.12, 95 CI 1.64-2.74); but less likely to consume concentrated cannabis products (concentrates) with extremely high %THC (50-64: aOR = 0.71, 95% CI 0.54-0.93; ≥65: aOR = 0.30, 95 CI 0.16-0.55). Age differences in cannabis use patterns were also observed between middle-aged and older adults.Conclusion: Findings suggest that middle-aged and older adults may engage in less risky cannabis use patterns compared to younger groups (e.g. lower likelihood of consuming highly potent concentrates). However, findings also underscore the importance of recognizing risks unique to these older demographics, such as smoking-related health events. Consequently, prevention strategies targeting such use patterns are needed.

Sex differences in Cannabis use disorder and associated psychosocial problems among US adults, 2012-2013.

While men show greater prevalence of cannabis use disorder (CUD) than women, whether cannabis use frequency drives this difference is unknown, and little is known about sex differences in problems associated with CUD. We therefore assessed the association of CUD with sex, adjusted for frequency of use, and compared the association of psychosocial and health-related problems with CUD between men and women. We included US adults age ≥ 18 who reported past-year cannabis use in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 3701). Cannabis use frequency, DSM-5 CUD and problems (interpersonal, financial, legal, health-related) were assessed. Associations between psychosocial problems, sex and DSM-5 CUD were assessed using prevalence differences (PD) and 95% confidence intervals (CI) from logistic regression models, controlling for demographics and cannabis use frequency, and effect modification by sex was assessed. We found that the prevalence of CUD among men versus women was not significantly greater after adjusting for use frequency. Women had significantly higher prevalence of interpersonal, financial and health-related problems than men, adjusting for frequency of use. Women showed significantly greater association of CUD with interpersonal problems with a boss or co-workers (p < 0.05) and a neighbor, relative or friend (p < 0.05) compared to men. Lack of sex differences in CUD after adjusting for frequency of use suggests use frequency may be an important target of CUD prevention efforts. CUD showed stronger associations for interpersonal problems among women than men, suggesting the need for particular emphasis on treating interpersonal problems related to cannabis use among women.

Exploring survey methods for measuring consumption quantities of cannabis flower and concentrate products.

Background: Researchers need accurate measurements of cannabis consumption quantities to assess risks and benefits. Survey methods for measuring cannabis flower and concentrate quantities remain underdeveloped.Objective: We examined "grams" and "hits" units for measuring flower and concentrate quantities, and calculating milligrams of THC (mgTHC).Methods: Online survey participants (n = 2,381) reported preferred unit (hits or grams), past-week hits and grams for each product, and product %THC. Quantile regression compared mgTHC between unit-preference subgroups. Hits-based mgTHC calculations assumed a universal grams-per-hit ratio (GPHR). To examine individualized GPHRs, we tested a "two-item approach," which divided total grams by total hits, and "one-item approach," which divided 0.5 grams by responses to the question: "How many total hits would it take you to finish 1/2 g of your [product] by [administration method]?"Results: Participants were primarily daily consumers (77%), 50% female sex, mean age 39.0 (SD 16.4), 85% White, 49% employed full-time. Compared to those who preferred the hits unit, those who preferred the grams unit reported consuming more hits and grams, higher %THC products, and consequently, larger median mgTHC (flower-hits mgTHC: 32 vs. 91 (95%CI: 52-67); flower-grams mgTHC: 27 vs. 113 (95%CI: 73-95); concentrate-hits mgTHC: 29 vs. 59 (95%CI: 15-43); concentrate-grams mgTHC: 61 vs. 129 (95%CI: 43-94)). "Two-item" and "one-item" approach GPHRs were similar and frequently 50% larger or smaller than the universal GPHR.Conclusion: Allowing respondents to choose "hits" or "grams" when reporting cannabis quantities does not compromise mgTHC estimates. A low-burden, one-item approach yields individualized "hit sizes" that may improve mgTHC estimates.

Comparing mental and physical health of U.S. veterans by VA healthcare use: implications for generalizability of research in the VA electronic health records.

OBJECTIVE: The Department of Veterans Affairs' (VA) electronic health records (EHR) offer a rich source of big data to study medical and health care questions, but patient eligibility and preferences may limit generalizability of findings. We therefore examined the representativeness of VA veterans by comparing veterans using VA healthcare services to those who do not. METHODS: We analyzed data on 3051 veteran participants age ≥ 18 years in the 2019 National Health Interview Survey. Weighted logistic regression was used to model participant characteristics, health conditions, pain, and self-reported health by past year VA healthcare use and generate predicted marginal prevalences, which were used to calculate Cohen's d of group differences in absolute risk by past-year VA healthcare use. RESULTS: Among veterans, 30.4% had past-year VA healthcare use. Veterans with lower income and members of racial/ethnic minority groups were more likely to report past-year VA healthcare use. Health conditions overrepresented in past-year VA healthcare users included chronic medical conditions (80.6% vs. 69.4%, d = 0.36), pain (78.9% vs. 65.9%; d = 0.35), mental distress (11.6% vs. 5.9%; d = 0.47), anxiety (10.8% vs. 4.1%; d = 0.67), and fair/poor self-reported health (27.9% vs. 18.0%; d = 0.40). CONCLUSIONS: Heterogeneity in veteran sociodemographic and health characteristics was observed by past-year VA healthcare use. Researchers working with VA EHR data should consider how the patient selection process may relate to the exposures and outcomes under study. Statistical reweighting may be needed to generalize risk estimates from the VA EHR data to the overall veteran population.

Item Response Theory Analyses of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Criteria Adapted to Screen Use Disorder: Exploratory Survey.

BACKGROUND: Screen use is part of daily life worldwide and morbidity related to excess use of screens has been reported. Some use of screens in excess could indicate a screen use disorder (ScUD). An integrative approach to ScUD could better fit the polymodal reality of screens, and concurrent problems with screens, than a split approach, activity by activity. In that paradigm, a pragmatic and operationalized approach to study a potential ScUD requires the use of common criteria, for all screens and activities done on screens, in a single questionnaire. OBJECTIVE: Our goals were (1) to describe screen uses in a general population sample and (2) to test the unidimensionality, local independence, and psychometric properties of the 9 Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) internet gaming disorder (IGD) criteria adapted to screen use in a community sample. We hypothesized that the 9 DSM-5 IGD criteria adapted to ScUD would show unidimensionality, local independence, and good discrimination, with criteria distributed on the severity continuum. METHODS: This cross-sectional survey in a French suburban city targeted adults and adolescents. A self-administered questionnaire covered the main types of screens used and their use for various activities in the past month. Presence of ScUD diagnostic criteria in past 12 months was also self-evaluated in the questionnaire. Factor and 2-parameter Item Response Theory analysis were used to investigate the dimensionality, local independence, and psychometric properties of the ScUD criteria. RESULTS: Among the 300 participants, 171 (57.0%) were female (mean age 27 years), 297 (99.0%) used screens, 134 (44.7%) reported at least one criterion (potential problem users), and 5 (1.7%) reported 5 or more criteria and endorsed an ScUD. The most endorsed criteria were loss of control (60/300, 20.0%) and preoccupation (52/300, 17.3%). Screen types used and screen activities differed between participants with no ScUD criteria and those with at least one ScUD criterion. The latter were more likely to have a computer as the most used screen type, and more video gaming, communication/social network, and watching news and research of information as activities. Unidimensionality was confirmed by all fit indices. Local independence was confirmed by the absence of residual correlation between the items. Criteria had relatively high factor loading, with loss of interest in other recreational activities having the highest. However, criteria with the lowest factor loading all remained above the cut-offs, sanctioning unidimensionality. Most discriminating criteria were loss of interests, preoccupation, deceive/cover up, and risk/lose relationship/opportunities, which also provided the most information on the measurement of the latent trait. CONCLUSIONS: We described screen uses in a French community sample and have shown that the adaptation of the DSM-5 IGD to "ScUD" has good psychometric validity and is discriminating, confirming our hypothesis. We suggest to use those criteria to assess potential "ScUD." Further studies should determine if all criteria are needed and whether others should be added.

Correlates of mild, moderate, and severe Alcohol Use Disorder among adults with problem substance use: Validity implications for DSM-5.

BACKGROUND: The DSM-5 definition of alcohol use disorder (AUD) has been well validated, but information is lacking on the extent to which alcohol use, comorbidity, and impairment are associated with the 3 DSM-5-defined AUD severity levels: mild, moderate, and severe. This study examined clinical and functional characteristics as predictors (validators) of these severity levels. METHODS: Participants aged ≥18 years reporting current problem substance use (N = 588) were recruited between 2016 and 2019 and assessed for DSM-5 AUD and a set of potential validators: indicators of alcohol use severity (i.e., craving, binge drinking frequency, problematic use, and harmful drinking), psychiatric disorders, and functional impairment. Multinomial logistic regression models examined the association between the predictors and the 3 AUD severity levels (mild, moderate, and severe) vs the reference group, no AUD, controlling for sociodemographic characteristics and other substance use. RESULTS: All alcohol use validators were associated with a greater likelihood of all 3 AUD severity levels compared with the no-AUD group. However, psychiatric disorders were associated only with severe AUD and participants with major depression (aOR = 2.44), posttraumatic stress disorder (aOR = 1.65), borderline personality disorder (aOR = 1.99), and antisocial personality disorder (aOR = 1.78) had a greater likelihood of severe AUD than the no-AUD group. Functioning validators were also associated only with severe AUD and participants with social (aOR = 1.87), physical (aOR = 1.62), or mental (aOR = 1.84) impairment had a greater likelihood of severe AUD than the no-AUD group. Many alcohol-related, psychiatric, and functioning validators were associated with greater odds of severe AUD than mild or moderate AUD. CONCLUSION: This study supports the criterion validity of the DSM-5 tri-categorical measure of AUD. Specifically, results fully supported the validity of severe AUD by its associations with all predictors, whereas the validity of mild and moderate AUD was supported only by alcohol use predictor variables. Findings suggest the value of using severity-specific interventions utilizing the DSM-5 AUD.

Risk factors for alcohol use among pregnant women, ages 15-44, in the United States, 2002 to 2017.

Fetal alcohol exposure can lead to severe birth and developmental defects. Determining which pregnant women are most likely to drink is essential for targeting interventions. In National Survey on Drug Use and Health data on pregnant women from 2002 to 2017 (N = 13,488), logistic regression was used to produce adjusted odds ratios (aOR) indicating characteristics associated with two past-month outcomes: any alcohol use and binge drinking. Risk factors were sociodemographic (age, race/ethnicity, marital status, education level, income) and clinical (trimester, substance use, alcohol use disorder, major depression). Where associations differed by pregnancy stage (trimester 1 vs. trimesters 2 and 3), association was evaluated by stage. Overall, higher risk for any and binge drinking was observed among those with other substance use (aORs 2.9-25.9), alcohol use disorder (aORs 4.5-7.5), depression (aORs = 1.6), and unmarried women (aORs 1.6-3.2). For any drinking, overall, higher risk was observed in adolescents (aOR = 1.5) and those with higher education (aOR = 1.4), while lower risk was observed in those with lower income (aORs = 0.7). For binge drinking, associations differed by pregnancy stage. In trimester 1, lower risk was observed in middle ages (aOR = 0.4). In trimesters 2/3, higher risk was observed in Blacks (aOR = 3.3) and those with lower income (aORs 3.5-3.9), while lower risk was observed in those with higher education (aOR = 0.3). To prevent severe prenatal harm, health care providers should focus on women at higher risk for binge drinking during pregnancy: women with tobacco or drug use, alcohol use disorder, or depression, and women who are unmarried, Black, or of lower socioeconomic status.

Time trends in US cannabis use and cannabis use disorders overall and by sociodemographic subgroups: a narrative review and new findings.

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; 2002-2002) and NESARC-III (2012-2013) 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. Studies should determine mechanisms for differential trends to provide information to policymakers and enable informed decisions on cannabis legalization and service planning.

Effects of State-Level Tobacco Environment on Cigarette Smoking are Stronger Among Those With Individual-Level Risk Factors.

INTRODUCTION: To better understand the impact of the state-level tobacco environment (eg, tobacco control policies, attitudes towards smoking) on cigarette smoking, we examined whether the relationship of state tobacco environments to smoking is modified by individual-level vulnerability factors. METHODS: In a nationally representative sample of US adults (N = 34 638), past-year smoking and heavy smoking were examined. State-level tobacco environment was defined by tobacco-related control policies and attitudes, ranging from permissive to restrictive; individual vulnerability was defined by childhood maltreatment and/or parental substance problems. Additive interaction tested differences in state-level tobacco environment effects on smoking and heavy smoking by individual-level vulnerability. RESULTS: Significant interactions (P values < .01) indicated that the state tobacco environment had the strongest relationship to smoking outcomes among individuals with greatest individual vulnerability. For example, among respondents with childhood maltreatment and parental substance problems, those in states with permissive tobacco environments had 13.3% greater prevalence of smoking than those in restrictive states. Among respondents with neither individual-level risk factor, those in permissive states had 2.8% greater prevalence than those in restrictive states (interaction P value = .0002). CONCLUSIONS: Further restricting states' smoking environments could help reduce the prevalence of smoking and heavy smoking, particularly among those at increased individual risk in the general population. IMPLICATIONS: This study shows that the protective effect of restrictive state-level tobacco environments on smoking or heavy smoking was stronger among those especially vulnerable due to individual-level risk factors (parental substance problems, childhood maltreatment). Thus, public health campaigns to influence attitudes towards smoking or legislation to strengthen tobacco control could have a broad effect, particularly impacting those with vulnerability to smoking, which may help decrease smoking prevalence and reduce the massive public health burden of tobacco-related morbidity and mortality.

Commonalities and Differences Across Substance Use Disorders: Phenomenological and Epidemiological Aspects.

BACKGROUND: Although psychoactive substances vary in many ways, they have important commonalties, particularly in their ability to lead to an addiction syndrome. The field lacks an updated review of the commonalities and differences in the phenomenology of alcohol, cannabis, tobacco, stimulants, opioids, hallucinogens, sedatives/tranquilizers, and inhalants and their related substance use disorders (SUDs). METHODS: DSM-IV and DSM-5 SUD diagnostic criteria were reviewed, as was evidence from recent epidemiological and clinical research: psychometric studies (test-retest reliability, latent trait analysis); physiological indicators (tolerance, withdrawal); prevalence and age of onset. Information was incorporated from previous reviews, PubMed and Scopus literature searches, and data from large U.S. national surveys. RESULTS: Empirical evidence in the form of test-retest reliability and unidimensionality supports use of the same DSM-IV dependence or DSM-5 SUD diagnostic criteria across substances. For most substances, the criteria sets were generally most informative in general population samples at moderate-to-severe levels of SUD. Across substances, 2 criteria (tolerance and use in hazardous situations) were identified as functioning differently in population subgroups. Since substances have different pharmacological effects, withdrawal is assessed using substance-specific symptoms, while tolerance is not; issues remain with the assessment of tolerance. Alcohol, tobacco, and cannabis were consistently identified as the substances with earliest onset of use, highest prevalence of lifetime use, and highest prevalence of lifetime disorder. CONCLUSIONS: Despite differences between psychoactive substances, the generic DSM criteria set appears equally applicable across substances. Additional studies of tolerance and hazardous use will be useful for future nosologies. Alcohol, cannabis, and tobacco are the substances with the greatest public health impact due to the high prevalence and early onset of their use, and the potential all 3 substances have to lead to addiction.

Childhood adversity moderates the effect of ADH1B on risk for alcohol-related phenotypes in Jewish Israeli drinkers.

Childhood adversity and genetic variant ADH1B-rs1229984 have each been shown to influence heavy alcohol consumption and disorders. However, little is known about how these factors jointly influence these outcomes. We assessed the main and additive interactive effects of childhood adversity (abuse, neglect and parental divorce) and the ADH1B-rs1229984 on the quantitative phenotypes 'maximum drinks in a day' (Maxdrinks) and DSM-Alcohol Use Disorder (AUD) severity, adjusting for demographic variables, in an Israeli sample of adult household residents (n = 1143) evaluated between 2007 and 2009. Childhood adversity and absence of the protective ADH1B-rs1229984 A allele were associated with greater mean Maxdrinks (mean differences: 1.50; 1.13, respectively) and AUD severity (mean ratios: 0.71; 0.27, respectively). In addition, childhood adversity moderated the ADH1B-rs1229984 effect on Maxdrinks (P < 0.01) and AUD severity (P < 0.05), in that there was a stronger effect of ADH1B-rs1229984 genotype on Maxdrinks and AUD severity among those who had experienced childhood adversity compared with those who had not. ADH1B-rs1229984 impacts alcohol metabolism. Therefore, among those at risk for greater consumption, e.g. those who experienced childhood adversity, ADH1B-rs1229984 appears to have a stronger effect on alcohol consumption and consequently on risk for AUD symptom severity. Evidence for the interaction of genetic vulnerability and early life adversity on alcohol-related phenotypes provides further insight into the complex relationships between genetic and environmental risk factors.

Alcohol dependence and suicide-related ideation/behaviors in an Israeli household sample, with and without major depression.

BACKGROUND: Suicide-related ideation and behaviors (SRIB) are associated with both alcohol disorders and major depressive disorder (MDD). The objective of this study was to evaluate the relationship of alcohol dependence (AD) and major depression to the risk for lifetime SRIB. METHODS: Data from a community-based sample of 1,237 adult Israeli lifetime drinkers assessed with reliable diagnostic measures were analyzed using logistic regression. RESULTS: Lifetime SRIB was reported in 4.7% and was more prevalent among participants with AD (9.0%) than among those without AD (4.1%); p-value = 0.01. Although both AD and major depression were associated with SRIB (AD: OR 2.2, 95% CI 1.1 to 4.4; MDD: OR 11.4, 95% CI = 6.4 to 20.4), joint analysis showed that AD without MDD increased risk for SRIB as compared to those without AD or MDD (OR 3.1, 95% CI 1.1 to 9.1), but AD did not increase risk among those with MDD (OR 1.1, 95% CI 0.4 to 2.7). Among those with AD, the severity of subclinical depressive symptoms was associated with increased SRIB. CONCLUSIONS: These findings show that AD increases risk for SRIB among individuals without a history of major depression. Suicidal tendencies may be undetected and underdiagnosed in this group because of the absence of major depression and therefore left untreated. These findings should be considered when adopting suicide prevention or treatment strategies for this high-risk subpopulation.

Childhood maltreatment, stressful life events, and alcohol craving in adult drinkers.

BACKGROUND: Little is known about the relationship between stressful life events and alcohol craving in the general population, and whether a history of childhood maltreatment sensitizes individuals to crave alcohol after adult stressors. METHODS: Participants were 22,147 past-year drinkers from Wave 2 (2004 to 2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. A structured, face-to-face interview assessed past-year stressful life events, alcohol craving, and history of childhood maltreatment. Logistic regression was used to generate adjusted odds ratios (aOR) to evaluate the relationship between stressful life events and craving, adjusting for demographic characteristics and parental history of alcoholism. Interaction between stressful life events and childhood maltreatment was also assessed. RESULTS: Compared to participants with no stressful life events, those with ≥ 3 events had increased odds of moderate alcohol craving (aOR = 3.15 [95% CI = 2.30 to 4.33]) and severe craving (aOR = 8.47 [95% CI = 4.78 to 15.01]). Stressful life events and childhood maltreatment interacted in predicting severe craving (p = 0.017); those with ≥ 3 events were at higher risk of craving if they had been exposed to childhood maltreatment. CONCLUSIONS: A direct relationship between stressful life events and risk of alcohol craving was observed. Further, history of childhood maltreatment increased the salience of stressful life events in adulthood. Future studies should examine the role of psychiatric comorbidity in more complex models of stress sensitization and alcohol craving.

Trauma exposure, posttraumatic stress disorder and risk for alcohol, nicotine, and marijuana dependence in Israel.

BACKGROUND: Substance dependence is more common among trauma-exposed individuals; however, most studies suggest that Posttraumatic Stress Disorder (PTSD) accounts for the link between trauma exposure (TE) and substance dependence. OBJECTIVES: This study examined associations between TE and substance dependence (alcohol, nicotine, and marijuana), and whether PTSD accounted for this association. METHOD: 1317 Jewish Israeli household residents completed in-person structured interviews assessing TE, PTSD, and substance (alcohol, nicotine, marijuana) dependence between 2007 and 2009. Regression analyses examined associations among TE, PTSD, and substance dependence. RESULTS: In the full sample, mean number of traumatic events was 2.7 (sd=2.2), with 83.7% experiencing at least one event. In the full sample, mean number of PTSD symptoms was 2.5 (sd=3.4), with 13.5% meeting PTSD diagnostic criteria. Prevalence of alcohol dependence was 13.4%; nicotine dependence 52.8%; and marijuana dependence 12.1%. Number of traumatic events was associated with increased odds of alcohol (OR=1.3; 95% CI=1.2-1.4) and nicotine (OR=1.2; 95% CI=1.1-1.3) dependence. Similarly, any traumatic event exposure was associated with increased odds of alcohol (OR=3.1; 95% CI=1.6-6.0) and nicotine (OR=1.9; 95% CI=1.2-2.9) dependence. PTSD symptoms were associated with increased odds of alcohol (OR=1.2; 95% CI=1.1-1.3), nicotine (OR=1.1; 95% CI=1.1-1.2), and marijuana (OR=1.1; 95% CI=1.04-1.2) dependence; similarly, a PTSD diagnosis was associated with increased odds of alcohol (OR=3.4; 95% CI=2.1-5.5), nicotine (OR=2.2; 95% CI=1.4-3.4), and marijuana (OR=2.6; 95% CI=1.2-5.9) dependence. PTSD symptoms accounted for a sizeable proportion of the TE effect on alcohol (46%) and nicotine dependence (31%). CONCLUSION: Individuals with more traumatic events had heightened risk for alcohol and nicotine dependence, and PTSD symptoms partially accounted for this risk. However, marijuana dependence was only significantly related to PTSD symptoms. Clinicians and researchers should separately assess different types of dependence among trauma-exposed individuals both with and without PTSD symptoms.

Self-Reported Substance Use With Clinician Interviewers Versus Self-Administered Surveys.

OBJECTIVE: Underreporting of substance use is a frequent concern about studies based on self-report, but few robust studies have examined the agreement between different methods for capturing self-reported substance use. The current study therefore used repeated measures to compare self-reported substance use using (a) clinician interviewers and (b) self-administered computerized surveys in a sample that included both inpatients and community residents. METHOD: Adults age 18 years and older with problematic substance use were recruited from the community or an inpatient addiction treatment facility. At baseline (N = 588), 3-month (n = 469), and 6-month (n = 476) interviews, participants were asked whether they used alcohol, cannabis, cocaine, heroin, and prescription painkillers by two methods: semi-structured, clinician-administered interview, and computerized self-administered questionnaire. Agreement between these two methods was investigated using Cohen's kappa coefficient. Multivariable logistic regression assessed differences in the odds of discordance between the two measures by recruitment source, gender, age, race/ethnicity, employment status, marital status, and level of education. RESULTS: There was moderate-to-strong agreement between clinician-administered and self-administered surveys for alcohol (kappa = .70-.88), cannabis (kappa = .87-.92), cocaine (kappa = .81-.89), and heroin (kappa = .90-.92). However, there was only weak-to-moderate agreement for nonmedical use of prescription painkillers (kappa = .55-.71), with the self-administered questionnaire capturing a higher prevalence of use (percent difference = 2.4%). CONCLUSIONS: Clinician interviewers and self-administered surveys were shown to capture similar rates of self-reported use of alcohol, cannabis, cocaine, and heroin. Surveys assessing nonmedical prescription opioid use may benefit from using self-administered questionnaires.

Use of Lysergic Acid Diethylamide by Major Depression Status.

Importance: Renewed interest in the clinical potential of hallucinogens may lead people with depression to a generally more positive view of the use of lysergic acid diethylamide (LSD). Therefore, past-year LSD use among people with depression may be increasing in prevalence. Objective: To assess time trends in the prevalence of past-year nonmedical LSD use by past-year major depression status and the variation in this association by sociodemographic characteristics. Design, Setting, and Participants: This survey study used pooled publicly available data from 478 492 adults aged 18 years or older who were administered the National Survey on Drug Use and Health from 2008 through 2019. Statistical analysis was conducted from December 2022 to June 2023. Main Outcome and Measures: Past-year major depression diagnoses per criteria from the DSM-IV were analyzed. Logistic regression models examined whether time trends in past-year nonmedical LSD use differed between adults with vs without past-year depression, adjusting for sociodemographic characteristics. Secondary analyses examined whether the trends in LSD use by depression status differed between sociodemographic subgroups. Results: The analytic sample included 478 492 adults, of whom 51.8% were female, 56.1% were younger than 50 years, 11.7% were Black, 15.1% were Hispanic, 65.8% were White, and 7.5% were another race. Weighted interview response rates ranged from 64.9% to 75.6% during the study time frame. From 2008 to 2019, past-year use of LSD increased significantly more among adults with major depression (2008 prevalence, 0.5%; 2019 prevalence, 1.8%; prevalence difference [PD], 1.3% [95% CI, 1.0%-1.6%]) compared with adults without major depression (2008 prevalence, 0.2%; 2019 prevalence, 0.8%; PD, 0.6% [95% CI, 0.5%-0.7%]) (difference in difference, 0.8% [95% CI, 0.5%-1.1%]). This difference was particularly pronounced among young adults aged 34 years or younger (PD among those aged 18-25 years with depression, 3.3% [95% CI, 2.5%-4.2%]; PD among those aged 26-34 years with depression, 2.7% [95% CI, 1.6%-3.8%]) and individuals with incomes less than $75 000 per year (PD among those with income <$20 000, 1.9% [95% CI, 1.3%-2.6%]; PD among those with income $20 000-$49 999, 1.5% [95% CI, 1.0%-2.1%]; PD among those with income $50 000-$74 999, 1.3% [95% CI, 0.7%-2.0%]). Conclusions and Relevance: This study suggests that, from 2008 to 2019, there was a disproportionate increase in the prevalence of past-year LSD use among US adults with past-year depression. Among those with depression, this increase was particularly strong among younger adults and those with lower household incomes. Among individuals with depression who also report LSD use, clinicians should discuss potential strategies for mitigating harm and maximizing benefits in medically unsupervised settings.

Reported Increase in Substance Use Following Mass Terrorism and the Role of Psychosocial Factors.

Importance: Research has shown evidence of increased substance use (ISU) in populations affected by mass terrorism; however, less is known regarding how psychosocial factors interact to estimate ISU following such events. Objective: To examine which factors are associated with reporting ISU, test whether psychological distress (PD) mediated the association between exposure to trauma and reporting ISU, and whether the mediation effect differed among those with prior mental health (MH) difficulties and those without. Design, Setting, and Participants: A partially representative cross-sectional survey of the adult Jewish population in Israel (aged 18-70 years) was conducted 4 weeks after October 7, 2023 (October 31 to November 5, 2023). A national Web panel using quotas based on national distributions was used. Randomly chosen adult Jewish members were invited to participate until a predetermined sample size was reached. Main Outcomes and Measures: The study measures included reporting ISU (outcome), PD (mediator), exposure to terror events and sociodemographic characteristics (variables), and prior MH difficulties (moderator). Hypotheses regarding outcome and variables were formulated before data collection. Results: A total of 7000 invitations were distributed, 2679 individuals consented, 1432 were excluded owing to quota limits, 74 failed attention tests, and 205 opted out, resulting in 968 participants (490 women [50.6%]; mean [SD] age, 41.5 [14.6] years). Hierarchical regression analysis revealed that participants were significantly more likely to report ISU if they had experienced direct exposure (odds ratio [OR], 5.75; 95% CI, 2.53 to 13.05), indirect exposure (OR, 1.84; 95% CI, 1.27 to 2.67), media exposure (OR, 1.22; 95% CI, 1.09 to 1.36), PD (OR, 1.80; 95% CI, 1.44 to 2.25), or previous MH difficulties (OR, 2.76; 95% CI, 1.86 to 4.09). PD partially mediated the association between indirect exposure (b = 0.20; 95% CI, 0.11 to 0.31) and media exposure (b = 0.14; 95% CI, 0.10 to 0.19) and reporting ISU. No evidence was found to support previous MH difficulties as a moderator of these indirect effects (indirect exposure, b = -0.003; 95% CI, -0.28 to 0.28; media exposure, b = 0.01; 95% CI, -0.06 to 0.08). Conclusions and Relevance: This study contributes to the research on the association of mass terrorism with ISU while shedding important light on the role it may play in the self-medication of PD following exposure, even in those who might have no previous MH difficulties. These insights are crucial for planning essential health services and preventive measures.

Alcohol-metabolizing genes and alcohol phenotypes in an Israeli household sample.

BACKGROUND: Alcohol dehydrogenase 1B and 1C (ADH1B and ADH1C) variants have been robustly associated with alcohol phenotypes in East Asian populations, but less so in non-Asian populations where prevalence of the most protective ADH1B allele is low (generally <5%). Further, the joint effects of ADH1B and ADH1C on alcohol phenotypes have been unclear. Therefore, we tested the independent and joint effects of ADH1B and ADH1C on alcohol phenotypes in an Israeli sample, with higher prevalence of the most protective ADH1B allele than other non-Asian populations. METHODS: A structured interview assessed lifetime drinking and alcohol use disorders (AUDs) in adult Israeli household residents. Four single nucleotide polymorphisms (SNPs) were genotyped: ADH1B (rs1229984, rs1229982, and rs1159918) and ADH1C (rs698). Regression analysis examined the association between alcohol phenotypes and each SNP (absence vs. presence of the protective allele) as well as rs698/rs1229984 diplotypes (also indicating absence or presence of protective alleles) in lifetime drinkers (n = 1,129). RESULTS: Lack of the ADH1B rs1229984 protective allele was significantly associated with consumption- and AUD-related phenotypes (OR = 1.77 for AUD; OR = 1.83 for risk drinking), while lack of the ADH1C rs698 protective allele was significantly associated with AUD-related phenotypes (OR = 2.32 for AUD). Diplotype analysis indicated that jointly ADH1B and ADH1C significantly influenced AUD-related phenotypes. For example, among those without protective alleles for ADH1B or ADH1C, OR for AUD was 1.87 as compared to those without the protective allele for ADH1B only and was 3.16 as compared to those with protective alleles for both ADH1B and ADH1C. CONCLUSIONS: This study adds support for the relationship of ADH1B and ADH1C and alcohol phenotypes in non-Asians. Further, these findings help clarify the mixed results from previous studies by showing that ADH1B and ADH1C jointly effect AUDs, but not consumption. Studies of the association between alcohol phenotypes and either ADH1B or ADH1C alone may employ an oversimplified model, masking relevant information.

Test characteristics of shorter versions of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) for brief screening for problematic substance use in a population sample from Israel.

BACKGROUND: Substance use is a leading cause of preventable morbidity and mortality worldwide. Population-wide screening for problematic substance use in primary health care may mitigate the serious health and socio-economic consequences of such use, but the standard Alcohol, Smoking and Substance Involvement Screening Test (ASSIST 3.1) may be too long for wide-scale screening. How well validated shorter versions (ASSIST-Lite, ASSIST-FC) perform in identifying those with ASSIST 3.1 problematic use in different settings is unclear. METHODS: General population Jewish adults in Israel (N = 2,474) responded to an online survey that included the ASSIST 3.1 and sociodemographics. Across substances (alcohol, tobacco, cannabis, sedatives, prescription stimulants, prescription painkillers), receiver operator characteristic curve analysis determined that ASSIST-FC scores performed better than ASSIST-Lite at identifying those with problematic use, and evaluated differential ASSIST-FC performance by gender or age. Test characteristics and agreement were evaluated for binary ASSIST-FC versions, with ASSIST 3.1 problematic use as the gold standard. RESULTS: ASSIST-FC scores showed high ability to identify ASSIST 3.1 problematic use, with minimal differences by gender or age. Binary ASSIST-FC (most substances: threshold 3+; alcohol: 5+) showed high specificity and positive predictive value, acceptable sensitivity, and good agreement. CONCLUSIONS: The ASSIST-FC, which assesses frequency of use and other's concerns about use, appears useful for very brief screening in primary care to identify patients who may benefit from intervention. Early identification of those at-risk may prevent more severe consequences and ultimately decrease the significant costs of problematic substance use on the individual and population level.

Extending Gender- and Sex-Based Analyses in Cannabis Research: Findings from an Online Sample of Gender Diverse Young Adult Consumers.

Background: Gender and sex can influence cannabis behaviors and consequences (Cannabis Use Disorder [CUD]). Research typically examines sex and gender independently. Gender analyses often exclude transgender and gender diverse (TGD) populations. The objectives of this study were to (a) replicate less frequent cannabis use among TGD young adults compared to cisgender counterparts (b) compare severity of CUD, and (c) examine the role of sex on cannabis outcomes. Method: Online survey participants between 18 and 34 (N=1213) from the United States who reported past-week cannabis consumption provided information on cannabis practices and CUD from February to April 2022. Bivariate analyses explored gender differences across frequency (daily frequency across routes of administration [ROAs]; daily use of 2+ ROAs, use throughout the day) and CUD. Adjusted regression models provided model-estimated marginal probabilities and means to examine differences across four gender-by-sex categories (cisgender men: n=385; cisgender women: n=681; male-at-birth TGD: n=26; female-at-birth TGD: n=121). Benjamini-Hochberg adjustments (10% false discovery rate) were applied. Results: Among past-week consumers, female-at-birth TGD participants demonstrated lower probability of daily flower smoking compared to cisgender men (0.54 vs. 0.67). Cisgender men reported greater probability of daily concentrate vaping (0.55) compared to cisgender women (0.45) and female-at-birth TGD participants (0.27); they were also more likely to report daily use of 2+ ROAs (cisgender men: 0.51 vs. cisgender women: 0.39 and female at-birth TGD: 0.27). TGD participants reported greater CUD severity compared to cisgender counterparts, t(1096)=-3.69, p=0.002. Model-estimated means found lower severity among cisgender women compared to cisgender men and female-at-birth TGD participants. Stratified regression models support positive associations between daily cannabis use and CUD in both TGD in cisgender groups. Among cisgender participants, greater severity was predicted by male sex, younger age, and younger age of onset. Conclusions: The present study replicates and extends a prior finding that among past-week cannabis consumers, TGD young adults report less frequent use than cisgender counterparts. Despite this, TGD participants demonstrated greater severity of CUD. While analyses were limited by the small sample of male-at-birth TGD participants, the article highlights the importance of expanding sex- and gender-focused analyses. Future work is expanding efforts to target hard-to-reach consumers.