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Background: Understanding time trends in risk factors for substance use may contextualize and explain differing time trends in substance use. Methods: We examined data (N = 536,291; grades 8/10/12) from Monitoring the Future, years 1991-2019. Using Latent Profile Analyses, we identified six time use patterns: one for those working at a paid job and the other five defined by levels of socialization (low/high) and engagement in structured activities like sports (engaged/disengaged), with the high social/engaged group split further by levels of unsupervised social activities. We tested associations between time use profiles and past two-week binge drinking as well as past-month alcohol use, cigarette use, cannabis use, other substance use, and vaping. We examined trends and group differences overall and by decade (or for vaping outcomes, year). Results: Prevalence of most substance use outcomes decreased over time among all groups. Cannabis use increased, with the largest increase in the group engaged in paid employment. Vaping substantially increased, with the highest nicotine vaping increase in the high social/engaged group with less supervision and the highest cannabis vaping increase in the highly social but otherwise disengaged group. Substance use was lowest in the low social groups, highest in the high social and employed groups. Conclusions: While alcohol, cigarette, and other substance use have declined for all groups, use remained elevated given high levels of social time, especially with low engagement in structured activities or low supervision, or paid employment. Cannabis use and vaping are increasing across groups, suggesting the need for enhanced public health measures. [ABSTRACT FROM AUTHOR]

Aim: To quantify the trends in frequent and occasional cannabis vaping, demographic differences and concurrent nicotine and alcohol use. Design: Observational study. Survey‐weighted multinomial logistic regression models assessed trends and disparities in past 30‐day cannabis use. Trends were assessed overall and by sex, race/ethnicity, parental education and urbanicity. Multinomial logistic regression models also estimated associations of cannabis use (none, use without vaping, use with vaping) with past 2‐week binge drinking and past 30‐day nicotine/tobacco use. Setting: United States, 2017–19. Participants: Participants in the national Monitoring the Future (n = 51 052) survey. Measurements Past 30‐day frequent cannabis use (six or more times/30 days) and past 30‐day occasional use (one to five times/30 days), with and without vaping. Findings Past 30‐day frequent cannabis use with vaping and occasional use with vaping rose from 2017 to 2019. Past 30‐day frequent and occasional cannabis use without vaping declined. Certain groups, such as Hispanic/Latino or lower socio‐economic status adolescents, experienced particularly notable increases in frequent cannabis use with vaping (e.g. prevalence among Hispanic/Latino adolescents). Adolescents who reported smoking and vaping nicotine, and 10+ occasions of binge drinking, were 42.28 [95% confidence interval (CI) = 33.14–53.93] and 10.09 (95% CI = 4.51–22.53) times more likely to report past 30‐day cannabis use with vaping, respectively, compared with no use. Discussion Cannabis use without vaping appears to be declining among adolescents in the United States, while cannabis use with vaping is accelerating; frequent cannabis vaping is especially increasing, with consistent increases across almost all adolescent demographic groups. Cannabis use among US adolescents remains highly associated with other substance use. [ABSTRACT FROM AUTHOR]

Objective: Alcohol use disorder (AUD) remains an urgent public health problem. Longitudinal data are needed to clarify the role of acute subjective responses to alcohol in the development and maintenance of excessive drinking and AUD. The authors report on 10 years of repeated examination of acute alcohol responses in the Chicago Social Drinking Project.Methods: Young adult drinkers (N=190) participated in an initial alcohol challenge (0.8 g/kg of alcohol compared with placebo) that was repeated 5 and 10 years later. They were also assessed on drinking behavior and AUD symptoms at numerous intervals across the decade. Retention was high, as 184 of the 185 (99%) nondeceased active participants completed the 10-year follow-up, and 91% (163 of 179) of those eligible for alcohol consumption engaged in repeated laboratory testing during this interval.Results: At the end of the decade, 21% of participants met criteria for past-year AUD. Individuals who reported the greatest alcohol stimulation, liking, and wanting at the initial alcohol challenge were most likely to have developed AUD 10 years later. Further, alcohol-induced stimulation and wanting increased in reexamination testing among those with the highest AUD symptoms as the decade progressed.Conclusions: Initial stimulant and rewarding effects of alcohol predicted heavy alcohol use, and the magnitude of these positive subjective effects increased over a 10-year period in those who developed AUD compared with those who did not develop the disorder. The findings demonstrate systematic changes in subjective responses to alcohol over time, providing an empirical basis for prevention, early intervention, and treatment strategies. [ABSTRACT FROM AUTHOR]

Substance use before sex is associated with riskier behaviors. Sex-related substance use motives may explain pre-sex substance use. We explored what sex-related motives are associated with alcohol versus drug use, and which motives underlie heavier use. A sample of 936 participants (50% male, 80% White) completed an Internet survey about sexuality. Those who drank before sex (n = 657) reported on six sex-related drinking motives; those who used drugs before sex (n = 271) reported on six (parallel) sex-related drug use motives. The frequency of endorsement of each motive between drinkers and drug users was compared with z-distributions. Logistic regressions assessed whether motives were associated with substance use frequency and intoxication before sex. Substance use to relax and to get a sex partner to use were more commonly endorsed for alcohol than drugs; substance use to improve performance and enhance experience were more commonly endorsed for drugs. Most motives were associated with alcohol frequency and intoxication before sex. None were associated with drug frequency; some were associated with drug intoxication. Alcohol was generally used to facilitate sex, and drugs to enhance sex. Sex-related drinking motives were associated with drinking before sex; sex-related drug use motives were less predictive. [ABSTRACT FROM AUTHOR]

Aims: Medical marijuana law (MML) enactment in the United States has been associated with increased cannabis use but lower traffic fatality rates. We assessed the possible association of MML and individual‐level driving under the influence of cannabis (DUIC) and also under the influence of alcohol (DUIA). Design and setting: Three cross‐sectional U.S. adult surveys: The National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991–1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001–2002), and the NESARC‐III (2012–2013). Participants: The total n was 118 497: 41 764, 41 184, and 35 549 from NLAES, NESARC, and NESARC‐III, respectively. Measurements Across the three surveys, similar questions in the Alcohol Use Disorder and Associated Disabilities Interview Schedule assessed DUIC and DUIA. Ever‐MML states enacted MML between 1991–1992 and 2012–2013 (overall period). Early‐MML states enacted MML between 1991–1992 and 2001–2002 (early period). Late‐MML states enacted MML between 2001–2002 and 2012–2013 (late period). MML effects on change in DUIC and DUIA prevalence were estimated using a difference‐in‐differences specification to compare changes in MML and other states. Findings From 1991–1992 to 2012–2013, DUIC prevalence nearly doubled (from 1.02% to 1.92%), increasing more in states that enacted MML than other states (difference‐in‐differences [DiD] = 0.59%; 95% CI = 0.06%–1.12%). Most change in DUIC prevalence occurred between 2001–2002 and 2012–2013. DUIC prevalence increased more in states that enacted MML 2001–2002 to 2012–2013 than in never‐MML states (DiD = 0.77%; 95% CI = −0.05%‐1.59%), and in two early‐MML states, California (DiD = 0.82; 95% CI = 0.06–1.59) and Colorado (DiD = 1.32; 95% CI = 0.11–2.53). In contrast, DUIA prevalence appeared unrelated to MML enactment. Conclusions: Medical marijuana law enactment in US states appears to have been associated with increased prevalence of driving under the influence of cannabis, but not alcohol. [ABSTRACT FROM AUTHOR]

Background: Heavy drinking poses health risks for individuals with HIV, and some individuals with HIV attempt to reduce drinking. Little is known about whether medical reasons motivate HIV-infected individuals to reduce drinking. Objectives: We evaluated medical reasons for limiting drinking among patients in a sexual health clinic, and explored whether these reasons could be operationalized as a new scale for research and clinical use in sexual health clinics. Methods: A sample of 70 patients in a sexual health clinic who reported efforts to limit drinking in the past month (84% with self-reported HIV; 81% male; 50% Black) completed a nine-item medical reasons for limiting drinking scale on a tablet while waiting for their appointment. Exploratory factor analysis was performed to evaluate psychometric properties of the scale. Results: Patients most commonly endorsed general concerns about health, and concerns about alcohol's effect on the liver. Support was found for a unidimensional (one-factor) eight-item scale, which evidenced good internal consistency (α = 0.84). Results were identical when analyses were restricted to the subset of 59 individuals who self-reported HIV infection. Conclusions/Importance: This study suggests that individuals in a sexual health clinic most commonly endorse broad nonspecific concerns about drinking and health, as well as concerns about their liver. This study yields an 8-item scale to measure medical reasons for limiting drinking in sexual health clinics and among individuals with HIV. This scale should enhance researchers' ability to study this important construct and may facilitate discussion of drinking reduction with HIV-infected heavy drinkers, requiring future study. [ABSTRACT FROM AUTHOR]

Importance: The US Food and Drug Administration recognizes total abstinence and no heavy drinking days as outcomes for pivotal pharmacotherapy trials for alcohol use disorder (AUD). Many patients have difficulty achieving these outcomes, which can discourage seeking treatment and has slowed the development of medications that affect alcohol use.Objective: To compare 2 drinking-reduction outcomes with total abstinence and no heavy drinking outcomes.Design, Setting, and Participants: Data were obtained from 3 multisite, randomized, placebo-controlled clinical trials of medications for treating alcohol dependence (naltrexone, varenicline, and topiramate) in adults with DSM-IV-categorized alcohol dependence.Main Outcomes and Measures: Within each trial, the percentage of participants in active and placebo conditions who met responder definitions of abstinence, no heavy drinking days, a WHO 1-level reduction, and a WHO 2-level reduction was computed by month with corresponding effect sizes (Cohen h).Results: Across the 3 trials (N = 1169; mean [SD] age, 45 [10] years; 824 [70.5%] men), the percentage of participants classified as responders during the last 4 weeks of treatment was lowest for abstinence (naltrexone, 34.7% [100 of 288]; varenicline, 7.3% [7 of 96]; topiramate, 11.7% [21 of 179]) followed by no heavy drinking days (naltrexone, 51.0% [147 of 288]; varenicline, 24.0% [23 of 96]; topiramate, 20.7% [37 of 179]), WHO 2-level reduction (naltrexone, 75.0% [216 of 288]; varenicline, 55.2% [53 of 96]; topiramate, 44.7% [80 of 179]), and WHO 1-level reduction (naltrexone, 83.3% [240 of 288]; varenicline, 69.8 [67 of 96]; topiramate, 54.7% [98 of 179]) outcomes. Standardized treatment effects observed for the WHO 2-level reduction outcomes (naltrexone, Cohen h = 0.214 [95% CI, 0.053 -0.375]; varenicline, 0.273 [95% CI, -0.006 to 0.553]; topiramate, 0.230 [95% CI, 0.024-0.435]) and WHO 1-level reduction (naltrexone, Cohen h = 0.116 [95% CI, -0.046 to 0.277]; varenicline, 0.338 [95% CI, 0.058-0.617]; topiramate, 0.014 [95% CI, -0.192 to 0.219]) were comparable with those obtained using abstinence (naltrexone, Cohen h = 0.142 [95% CI, -0.020 to 0.303]; varenicline, 0.146 [95% CI, -0.133 to 0.426]; topiramate, 0.369 [95% CI, 0.163-0.574]) and no heavy drinking days (naltrexone, Cohen h = 0.140 [95% CI, -0.021 to 0.302]; varenicline, 0.232 [95% CI, -0.048 to 0.511]; topiramate, 0.207 [95% CI, 0.002-0.413]).Conclusions and Relevance: WHO drinking risk level reductions appear to be worthwhile indicators of treatment outcome in AUD pharmacotherapy trials. These outcomes may align with drinking reduction goals of many patients and capture clinically meaningful improvements experienced by more patients than either abstinence or no heavy drinking days.Trial Registration: ClinicalTrials.gov identifiers: NCT00006206; NCT01146613; NCT00210925. [ABSTRACT FROM AUTHOR]

Heavy drinking can cause medical problems for individuals with HIV, and drinking despite medical contraindications indicates problem use. However, little is known about which individuals with HIV drink despite knowledge of health problems. This study utilizes two subsamples of individuals with HIV from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III): those reporting at least one drink (a) in their lifetime (n = 205) or (b) in the past year (n = 166). Participants reported on drinking despite health problems and psychopathology in the past year and in their lifetime, and family history of alcohol problems. Individuals with a drug use disorder (Adjusted Odds Ratios [AORs] = 3.56-12.65), major depressive disorder (AORs = 10.18-10.55), or a family history of alcohol problems (AORs = 33.60-96.01) were more likely to drink despite health problems. Anxiety and personality disorders did not increase risk. Individuals with HIV with drug use disorders or major depressive disorder are more likely to drink despite health problems. Individuals with a family history of alcohol problems were also more likely to do so, although further research is needed given large confidence intervals. Future research should consider how to help these individuals avoid alcohol-related harm. [ABSTRACT FROM AUTHOR]

Background: Individuals who use illicit drugs are at heightened risk for HIV and/or Hepatitis C Virus (HCV). Despite the medical consequences of drinking for drug-using individuals with these infections, many do drink. In other studies, how individuals perceive their health relates to their engagement in risk behaviors such as drinking. However, among drug-using individuals with HIV and HCV, whether perceived health relates to drinking is unknown.Objective: We examine the association between perceived health and drinking among drug-using individuals with HIV and/or HCV.Methods: In a large, cross-sectional study, we utilized samples of individuals with HIV (n=476), HCV (n=1145), and HIV/HCV co-infection (n=180), recruited from drug treatment centers from 2005 to 2013. In each sample, we investigated the relationship between perceived health and drinking, using ordinal logistic regressions. We present uncontrolled models as well as models controlled for demographic characteristics.Results: Among samples of drug using individuals with HIV and with HCV, poorer perceived health was associated with risky drinking only when demographic characteristics were taken into account (Adjusted Odds Ratios: 1.32 [1.05, 1.67] and 1.16 [1.00, 1.34], respectively). In the smaller HIV/HCV co-infected sample, the association of similar magnitude was not significant (AOR=1.32 [0.90, 1.93]).Conclusions: Drug using patients with HIV or HCV with poor perceived health are more likely to drink heavily, which can further damage health. However, when demographics are not accounted for, these effects can be masked. Patients' reports of poor health should remind providers to assess for health risk behaviors, particularly heavy drinking. [ABSTRACT FROM AUTHOR]

Importance: Over the last 25 years, illicit cannabis use and cannabis use disorders have increased among US adults, and 28 states have passed medical marijuana laws (MML). Little is known about MML and adult illicit cannabis use or cannabis use disorders considered over time.Objective: To present national data on state MML and degree of change in the prevalence of cannabis use and disorders.Design, Participants, and Setting: Differences in the degree of change between those living in MML states and other states were examined using 3 cross-sectional US adult surveys: the National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III; 2012-2013). Early-MML states passed MML between NLAES and NESARC ("earlier period"). Late-MML states passed MML between NESARC and NESARC-III ("later period").Main Outcomes and Measures: Past-year illicit cannabis use and DSM-IV cannabis use disorder.Results: Overall, from 1991-1992 to 2012-2013, illicit cannabis use increased significantly more in states that passed MML than in other states (1.4-percentage point more; SE, 0.5; P = .004), as did cannabis use disorders (0.7-percentage point more; SE, 0.3; P = .03). In the earlier period, illicit cannabis use and disorders decreased similarly in non-MML states and in California (where prevalence was much higher to start with). In contrast, in remaining early-MML states, the prevalence of use and disorders increased. Remaining early-MML and non-MML states differed significantly for use (by 2.5 percentage points; SE, 0.9; P = .004) and disorder (1.1 percentage points; SE, 0.5; P = .02). In the later period, illicit use increased by the following percentage points: never-MML states, 3.5 (SE, 0.5); California, 5.3 (SE, 1.0); Colorado, 7.0 (SE, 1.6); other early-MML states, 2.6 (SE, 0.9); and late-MML states, 5.1 (SE, 0.8). Compared with never-MML states, increases in use were significantly greater in late-MML states (1.6-percentage point more; SE, 0.6; P = .01), California (1.8-percentage point more; SE, 0.9; P = .04), and Colorado (3.5-percentage point more; SE, 1.5; P = .03). Increases in cannabis use disorder, which was less prevalent, were smaller but followed similar patterns descriptively, with change greater than never-MML states in California (1.0-percentage point more; SE, 0.5; P = .06) and Colorado (1.6-percentage point more; SE, 0.8; P = .04).Conclusions and Relevance: Medical marijuana laws appear to have contributed to increased prevalence of illicit cannabis use and cannabis use disorders. State-specific policy changes may also have played a role. While medical marijuana may help some, cannabis-related health consequences associated with changes in state marijuana laws should receive consideration by health care professionals and the public. [ABSTRACT FROM AUTHOR]

Importance: Heroin use is an urgent concern in the United States. Little is know about the course of heroin use, heroin use disorder, and associated factors.Objective: To examine changes in the lifetime prevalence, patterns, and associated demographics of heroin use and use disorder from 2001-2002 to 2012-2013 in 2 nationally representative samples of the US adult general population.Design, Setting, and Participants: This survey study included data from 43 093 respondents of the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) and 36 309 respondents of the 2012-2013 NESARC-III. Data were analyzed from February 2 to September 15, 2016.Main Outcomes and Measures: Lifetime heroin use and DSM-IV heroin use disorder.Results: Among the 79 402 respondents (43.3% men; 56.7% women; mean [SD] age, 46.1 [17.9] years), prevalence of heroin use and heroin use disorder significantly increased from 2001-2002 to 2012-2013 (use: 0.33% [SE, 0.03%] vs 1.6% [SE, 0.08%]; disorder: 0.21% [SE, 0.03%] vs 0.69% [SE, 0.06%]; P < .001). The increase in the prevalence of heroin use was significantly pronounced among white (0.34% [SE, 0.04%] in 2001-2002 vs 1.90% [SE, 0.12%] in 2012-2013) compared with nonwhite (0.32% [SE, 0.05%] in 2001-2002 vs 1.05% [SE, 0.10%] in 2012-2013; P < .001) individuals. The increase in the prevalence of heroin use disorder was more pronounced among white individuals (0.19% [SE, 0.03%] in 2001-2002 vs 0.82% [SE, 0.08%] in 2012-2013; P < .001) and those aged 18 to 29 (0.21% [SE, 0.06%] in 2001-2002 vs 1.0% [0.17%] in 2012-2013; P = .01) and 30 to 44 (0.20% [SE, 0.04%] in 2001-2002 vs 0.77% [0.10%] in 2012-2013; P = .03) years than among nonwhite individuals (0.25% [SE, 0.04%] in 2001-2002 vs 0.43% [0.07%] in 2012-2013) and older adults (0.22% [SE, 0.04%] in 2001-2002 vs 0.51% [SE, 0.07%] in 2012-2013). Among users, significant differences were found across time in the proportion of respondents meeting DSM-IV heroin use disorder criteria (63.35% [SE, 4.79%] in 2001-2001 vs 42.69% [SE, 2.87%] in 2012-2013; P < .001). DSM-IV heroin abuse was significantly more prevalent among users in 2001-2002 (37.02% [SE, 4.67%]) than in 2012-2013 (19.19% [SE, 2.34%]; P = .001). DSM-IV heroin dependence among users was similar in 2001-2002 (28.22% [SE, 3.95%]) and in 2012-2013 (25.02% [SE, 2.20%]; P = .48). The proportion of those reporting initiation of nonmedical use of prescription opioids before initiating heroin use increased across time among white individuals (35.83% [SE, 6.03%] in 2001-2002 to 52.83% [SE, 2.88%] in 2012-2013; P = .01).Conclusions and Relevance: The prevalence of heroin use and heroin use disorder increased significantly, with greater increases among white individuals. The nonmedical use of prescription opioids preceding heroin use increased among white individuals, supporting a link between the prescription opioid epidemic and heroin use in this population. Findings highlight the need for educational campaigns regarding harms related to heroin use and the need to expand access to treatment in populations at increased risk for heroin use and heroin use disorder. [ABSTRACT FROM AUTHOR]

Objective: Among drug users with HIV and Hepatitis C Virus (HCV) infections, heavy drinking can pose significant risks to health. Yet many drug users with HIV and HCV drink heavily. Clarifying the relationship of drug-using patients' understanding of their illnesses to their drinking behavior could facilitate more effective intervention with these high-risk groups.Method: Among samples of drug users infected with HIV (n=476; 70% male) and HCV (n=1145; 81% male) recruited from drug treatment clinics, we investigated whether patients' perceptions of the risk for severe outcomes related to HIV and HCV were associated with their personal drinking behavior, using generalized logit models. Interactions with co-infection status were also explored.Results: HIV-infected drug users who believed that HIV held highest risk for serious outcomes were the most likely to be risky drinkers, when compared with those with less severe perceptions, X(2)(6)=14.19, p<0.05. In contrast, HCV-infected drug users who believed that HCV held moderate risk for serious outcomes were the most likely to be risky drinkers, X(2)(6)=12.98, p<0.05.Conclusions: In this sample of drug users, risky drinking was most common among those with HIV who believed that severe outcomes were inevitable, suggesting that conveying the message that HIV always leads to severe outcomes may be counterproductive in decreasing risky drinking in this group. However, risky drinking was most common among those with HCV who believed that severe outcomes were somewhat likely. Further research is needed to understand the mechanisms of these associations. [ABSTRACT FROM AUTHOR]

Introduction:Heavy drinking can be harmful for individuals with HIV, particularly those coinfected with hepatitis C virus (HCV). HIV patients’ reasons for drinking predict short-term alcohol involvement, but whether they predict longer-term involvement is unknown. Also, it remains unknown whether these motives are differentially predictive for HIV monoinfected and HIV/HCV coinfected patients. Method:HIV-infected heavy drinkers (n = 254) participated in a randomized trial of brief alcohol interventions, 236 (92.9%) of whom reported on baseline motives and alcohol involvement 12 months later (77.1% male, 94.9% minority, 30.6% with HCV). Results:Greater endorsement of baseline drinking to cope with negative affect predicted greater alcohol dependence symptoms at 12 months (incident rate ratio [IRR] = 1.80, p < 0.05), while greater endorsement of baseline drinking due to social pressure predicted fewer drinks consumed at 12 months (IRR = 0.67, p < 0.05). Coping and social reasons were both predictive for HIV monoinfected patients, whereas only coping reasons were predictive for HIV/HCV coinfected patients. Discussion:Drinking for coping and social reasons predict alcohol involvement 12 months later; however, social reasons may only be important for HIV monoinfected patients. Understanding patient reasons for drinking may help predict patient risk up to a year later.KEY MESSAGESAmong HIV patients, drinking motives predict alcohol involvement 12 months later.For HIV monoinfected patients, drinking to cope and drinking for social reasons predict 12-month alcohol involvement.For HIV/Hepatitis C coinfected patients, coping (but not social) motives predict 12-month alcohol involvement. [ABSTRACT FROM PUBLISHER]

Background Heavy alcohol consumption can be harmful, particularly for individuals with HIV. There is substantial variability in response to interventions that aim to reduce drinking. Neighborhood drinking norms may explain some of this variability among HIV-infected patients. Therefore, we investigated whether neighborhood-level drinking norms modified response to alcohol intervention among HIV-infected heavy drinkers. Methods Heavily-drinking HIV comprehensive care patients ( n = 230) completed 1 of 3 brief alcohol interventions (an educational intervention, a motivational interviewing [ MI] intervention, or an MI intervention with a technological enhancement called HealthCall). Drinking was reported at baseline and end of treatment (60 days). Neighborhood-level drinking norms were obtained from a separate general population study. Results Patients' reductions in drinks per drinking day in response to MI (as compared with the educational control) were more pronounced in neighborhoods with more permissive drinking norms. In contrast, patients' reductions in drinks per drinking day in response to MI plus HealthCall did not significantly vary between neighborhoods with different drinking norms. Norms did not evidence significant interactions with intervention condition for 3 other exploratory drinking outcomes (drinking frequency, binge frequency, and maximum quantity). Conclusions Neighborhood-level drinking norms help explain differential response to an alcohol MI intervention among HIV-infected patients. This study suggests the utility of considering neighborhood context as an effect modifier of alcohol interventions. [ABSTRACT FROM AUTHOR]

Background: Understanding the relationship between health insurance coverage and tobacco and alcohol use among reproductive age women can provide important insight into the role of access to care in preventing tobacco and alcohol use among pregnant women and women planning to become pregnant.Methods: We examined the association between health insurance coverage and both past month alcohol use and past month tobacco use in a nationally representative sample of women age 12-44 years old, by pregnancy status. The women (n=97,788) were participants in the National Survey of Drug Use and Health (NSDUH) in 2010-2013. Logistic regression models assessed the association between health insurance (insured versus uninsured), past month tobacco and alcohol use, and whether this was modified by pregnancy status.Results: Pregnancy status significantly moderated the relationship between health insurance and tobacco use (p-value≤0.01) and alcohol use (p-value≤0.01). Among pregnant women, being insured was associated with lower odds of alcohol use (adjusted odds ratio [AOR]=0.47; 95% confidence interval [CI]=0.27-0.82), but not associated with tobacco use (AOR=1.14; 95% CI=0.73-1.76). Among non-pregnant women, being insured was associated with lower odds of tobacco use (AOR=0.67; 95% CI=0.63-0.72), but higher odds of alcohol use (AOR=1.23; 95% CI=1.15-1.32).Conclusion: Access to health care, via health insurance coverage is a promising method to help reduce alcohol use during pregnancy. However, despite health insurance coverage, tobacco use persists during pregnancy, suggesting missed opportunities for prevention during prenatal visits. [ABSTRACT FROM AUTHOR]

Background and Aims Persistent cases of alcohol and nicotine dependence are associated with considerable morbidity and mortality, and are predicted by childhood maltreatment and personality disorders. Our aim was to test whether personality disorders (individually or conjointly) mediate the relationship between childhood maltreatment and the persistence of dependence. Design Personality disorders, modeled dimensionally, were tested as mediators of the relationship between childhood maltreatment and the 3-year persistence of alcohol and nicotine dependence in participants in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who had current alcohol and nicotine dependence in their baseline interview. Individual personality disorders were assessed in separate models. Then, those that were significant were examined jointly in multiple mediator models to determine their total and unique effects. Setting A large, nationally representative US survey. Participants Participants ≥ 18 years who completed baseline and 3-year follow-up NESARC interviews who had baseline alcohol dependence ( n = 1172; 68% male) or nicotine dependence ( n = 4017; 52.9% male). Measurements Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS-IV) measures of childhood maltreatment, personality disorders and alcohol/nicotine dependence. Findings Individual models indicated that many personality disorders mediated the relationship between childhood maltreatment and the 3-year persistence of alcohol and nicotine dependence (each explaining 6-46% of the total effect, Ps < 0.05). In multiple mediator models, borderline and antisocial symptoms remained significant mediators, each explaining 20-37% of the total effect ( Ps < 0.01). Conclusions Personality disorder symptoms (especially borderline and antisocial) help explain the association between childhood maltreatment and persistent alcohol and nicotine dependence. [ABSTRACT FROM AUTHOR]

Background Heavy drinking poses significant risks to the health and survival of individuals infected with HIV, particularly those coinfected with hepatitis C virus ( HCV). However, little is known about patients' perceptions of these risks, and whether these perceptions relate to their alcohol consumption. Methods A sample of 254 heavily drinking HIV primary care patients (78% male; 94.5% minority; 31.8% with HCV) reported on their perceptions of the medical risks of drinking and on their alcohol consumption prior to participation in a drinking-reduction intervention trial. Results In the HIV-infected sample as a whole, 62.9% reported that they had a medical problem made worse by drinking, and 64.3% reported restricting drinking to avoid future medical problems. Although patients coinfected with HIV/ HCV reported greater efforts to restrict drinking to avoid future medical problems (adjusted odds ratio = 1.94), their reported drinking quantity and frequency did not differ from that of HIV mono-infected patients. Awareness of medical risk was not associated with drinking level. Effort to restrict drinking to avoid medical risk was associated with lower drinking quantity, frequency, and binge frequency ( ps < 0.05), but the association with binge frequency was specific to patients without HCV. Conclusions Over one-third of HIV patients are unaware of the medical risks of drinking, and do not restrict use, suggesting the need for intervention in this group. Patients coinfected with HIV/ HCV may report more effort to restrict drinking, but their reported drinking quantity and frequency suggest that they are actually drinking just as heavily as HIV mono-infected patients. Awareness of medical risk was unrelated to drinking, which suggests the need for interventions consisting of more than simple education. However, reported effort to restrict drinking did predict less drinking, suggesting the importance of patient commitment and initiative in change. [ABSTRACT FROM AUTHOR]

Background Heavy drinking among individuals with HIV is associated with major health concerns (liver disease, medication nonadherence, immune functioning), but little is known about cognitive-motivational factors involved in alcohol consumption in this population, particularly reasons for limiting drinking. Methods Urban HIV primary care patients ( N = 254; 78.0% male; 94.5% African American or Hispanic) in a randomized trial of brief drinking-reduction interventions reported on reasons for limiting drinking, alcohol consumption, and alcohol dependence symptoms prior to intervention. Results Exploratory factor analysis indicated 3 main domains of reasons for limiting drinking: social reasons (e.g., responsibility to family), lifestyle reasons (e.g., religious/moral reasons), and impairment concerns (e.g., hangovers). These factors evidenced good internal consistency ( αs = 0.76 to 0.86). Higher scores on social reasons for limiting drinking were associated with lower typical quantity, maximum quantity, and binge frequency ( ps < 0.01), and higher scores on lifestyle reasons were associated with lower maximum quantity, binge frequency, and intoxication frequency ( ps < 0.01). In contrast, higher scores on impairment concerns were associated with more frequent drinking and intoxication, and higher risk of alcohol dependence ( ps < 0.05), likely because dependent drinkers are more familiar with alcohol-induced impairment. Conclusions The current study is the first to explore reasons for limiting drinking among individuals with HIV and how these reasons relate to alcohol involvement. This study yields a scale that can be used to assess reasons for limiting drinking among HIV-positive drinkers and provides information that can be used to enhance interventions with this population. Discussing social and lifestyle reasons for limiting drinking among less extreme drinkers may support and validate these patients' efforts to limit engagement in heavy drinking; discussion of impairment reasons for limiting drinking may be a way to engage dependent drinkers in efforts to decrease their alcohol consumption. [ABSTRACT FROM AUTHOR]

Background and Aims Alcohol and nicotine dependence are associated with considerable morbidity and mortality, especially when cases are persistent. The risk for alcohol and nicotine dependence is increased by childhood maltreatment. However, the influence of childhood maltreatment on dependence course is unknown, and is evaluated in the current study. Design Physical, sexual and emotional abuse, and physical and emotional neglect, were evaluated as predictors of persistent alcohol and nicotine dependence over 3 years of follow-up, with and without control for other childhood adversities. Setting National Epidemiologic Survey on Alcohol and Related Conditions ( NESARC). Participants NESARC participants completing baseline and follow-up who met criteria at baseline for past-year alcohol dependence ( n = 1172) and nicotine dependence ( n = 4017). Measurements Alcohol Use Disorder and Associated Disabilities Interview Schedule ( AUDADIS) measures of alcohol/nicotine dependence, childhood maltreatment and other adverse childhood experiences (e.g. parental divorce). Findings Controlling for demographics only, physical, sexual and emotional abuse and physical neglect predicted 3-year persistence of alcohol dependence [adjusted odds ratio ( AOR) = 1.50-2.99; 95% CI = 1.04-4.68] and nicotine dependence ( AOR = 1.37-1.74; 95% CI = 1.13-2.11). With other childhood adversities also controlled, maltreatment types remained predictive for alcohol persistence ( AOR = 1.53-3.02; 95% CI = 1.07-4.71) and nicotine persistence ( AOR = 1.35-1.72; 95% CI = 1.11-2.09). Further, a greater number of maltreatment types incrementally influenced persistence risk ( AOR = 1.19-1.36; 95% CI = 1.11-1.56). Conclusions A history of childhood maltreatment predicts persistent adult alcohol and nicotine dependence. This association, robust to control for other childhood adversities, suggests that maltreatment (rather than a generally difficult childhood) affects the course of dependence. [ABSTRACT FROM AUTHOR]

Background Heavy drinking jeopardizes the health of patients in HIV primary care. In alcohol dependent patients in HIV primary care, a technological enhancement of brief intervention, HealthCall administered via interactive voice response (HealthCall-IVR) was effective at reducing heavy drinking. The smartphone offered a technology platform to improve HealthCall. Methods Working with input from patients, technology experts, and HIV clinic personnel, we further developed HealthCall, harnessing smartphone technological capacities (HealthCall-S). In a pilot study, we compared rates of HealthCall-S daily use and drinking outcomes in 41 alcohol dependent HIV-infected patients with the 43 alcohol dependent HIV-infected patients who used HealthCall-IVR in our previous efficacy study. Procedures, clinic, personnel, and measures were largely the same in the two studies, and the two groups of patients were demographically similar (~90% minority). Results Pilot patients used HealthCall-S a median of 85.0% of the 60 days of treatment, significantly greater than the corresponding rate (63.8%) among comparison patients using HealthCall- IVR (p < .001). Mean end-of-treatment drinks per drinking day was similar in the two groups. Patients were highly satisfied with HealthCall-S (i.e., 92% reported that they liked using HealthCall-S). Conclusions Among alcohol dependent patients in HIV primary care, HealthCall delivered via smartphone is feasible, obtains better patient engagement than HealthCall-IVR, and is associated with decreased drinking. In HIV primary care settings, HealthCall-S may offer a way to improve drinking outcomes after brief intervention by extending patient engagement with little additional demands on staff time. [ABSTRACT FROM AUTHOR]

Background: Little is known about the transition from substance abuse to substance dependence. Objectives: This study aims to estimate the cumulative probability of developing dependence and to identify predictors of transition to dependence among individuals with lifetime alcohol, cannabis, or cocaine abuse. Methods: Analyses were done for the subsample of individuals with lifetime alcohol abuse ( n = 7802), cannabis abuse ( n = 2832), or cocaine abuse ( n = 815) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Estimated projections of the cumulative probability of transitioning from abuse to dependence were obtained by the standard actuarial method. Discrete-time survival analyses with time-varying covariates were implemented to identify predictors of transition to dependence. Results: Lifetime cumulative probability estimates indicated that 26.6% of individuals with alcohol abuse, 9.4% of individuals with cannabis abuse, and 15.6% of individuals with cocaine abuse transition from abuse to dependence at some point in their lives. Half of the transitions of alcohol, cannabis, and cocaine dependence occurred approximately 3.16, 1.83, and 1.42 years after abuse onset, respectively. Several sociodemographic, psychopathological, and substance use-related variables predicted transition from abuse to dependence for all of the substances assessed. Conclusion: The majority of individuals with abuse do not transition to dependence. Lifetime cumulative probability of transition from abuse to dependence was highest for alcohol, followed by cocaine and lastly cannabis. Time from onset of abuse to dependence was shorter for cocaine, followed by cannabis and alcohol. Although some predictors of transition were common across substances, other predictors were specific for certain substances. [ABSTRACT FROM AUTHOR]

To estimate the general and racial/ethnic specific cumulative probability of remission from nicotine alcohol cannabis or cocaine dependence, and to identify predictors of remission across substances. Data were collected from structured diagnostic interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV version. The 2001-2002 National Epidemiological Survey of Alcohol and Related Conditions (NESARC) surveyed a nationally representative sample from US adults ( n = 43 093) selected in a three-stage sampling design. The subsamples of individuals with life-time DSM-IV diagnosis of dependence on nicotine ( n = 6937), alcohol ( n = 4781), cannabis ( n = 530) and cocaine ( n = 408). Cumulative probability estimates of dependence remission for the general population and across racial/ethnic groups. Hazard ratios for remission from dependence. Life-time cumulative probability estimates of dependence remission were 83.7% for nicotine, 90.6% for alcohol, 97.2% for cannabis and 99.2% for cocaine. Half of the cases of nicotine, alcohol, cannabis and cocaine dependence remitted approximately 26, 14, 6 and 5 years after dependence onset, respectively. Males, Blacks and individuals with diagnosis of personality disorders and history of substance use comorbidity exhibited lower hazards of remission for at least two substances. A significant proportion of individuals with dependence on nicotine, alcohol, cannabis or cocaine achieve remission at some point in their life-time, although the probability and time to remission varies by substance and racial/ethnic group. Several predictors of remission are shared by at least two substances, suggesting that the processes of remission overlap. The lower rates of remission of individuals with comorbid personality or substance use disorders highlight the need for providing coordinated psychiatric and substance abuse interventions. [ABSTRACT FROM AUTHOR]

Objective: Although studies have shown disparities between black and white populations in service utilization for mental disorders, little information exists on whether such disparities apply equally across disorders. The objective of this study was to examine racial differences in lifetime prevalence of service utilization for mood and anxiety disorders and for alcohol and drug use disorders, with controls for predisposing, enabling, and need-for-service variables unequally distributed between racial-ethnic groups. Methods: Data were from a face-to-face epidemiologic survey of 32,752 non-Hispanic white or black adults ages 18 and older residing in households and group quarters in the United States. Main outcome measures were treatment for mood, anxiety, and alcohol and drug use disorders. Results: White adults were consistently more likely than black adults to have had treatment for mood disorders (odds ratio [OR]=2.16, 95% confidence interval [CI]=1.80-2.59) and anxiety disorders (OR=1.77, 95% CI=1.43-2.19) after adjustment for predisposing and enabling factors and need for service (severity of disorder). In contrast no evidence of lower service utilization for treatment of alcohol use disorders emerged among black respondents (OR=.87, 95% CI=.69-1.10). Moreover, white respondents with drug use disorders were significantly less likely than black respondents to receive treatment for a drug problem (OR=.64, 95% CI=.47-.88). Conclusions: Differences in treatment between black and white adults depended on the specific disorder and type of treatment considered. Prevention and intervention strategies should address disorder-specific disparities in services received. [ABSTRACT FROM AUTHOR]

Background: Prospective studies have not previously examined whether a family history of alcoholism and drinking motives conjointly predict a diagnosed DSM-IV alcohol abuse or dependence in adults, despite a large literature that each is associated with alcohol consumption. The focus of this study is the conjoint, prospective examination of these risk factors in a 10-year longitudinal study of adults who were at-risk drinkers at baseline. Methods: Prospective, population-based cohort of drinkers aged 18 or older from a Northeastern U.S. area initially evaluated for history of alcohol use disorders and drinking motives in 1991 to 1992. New onset dependence was studied in those who never met the criteria for alcohol dependence at baseline ( n = 423), and new onset abuse was studied in those who never met the criteria for alcohol abuse at baseline ( n = 301) and who did not develop dependence during the follow-up. Results: Family history significantly interacted with 2 baseline drinking motives in predicting new onsets of DSM-IV alcohol dependence: drinking to reduce negative affect (OR 3.38; 95% CI 1.05, 10.9) and drinking for social facilitation (OR 3.88; CI 1.21, 12.5). Effects were stronger after conditioning the drinking motives on having a positive family history of alcoholism. In contrast, in predicting new onsets of alcohol abuse, drinking motives did not have direct effects or interact with family history. Conclusions: Those who drank to reduce negative affect or for social facilitation at baseline were at greater risk of alcohol dependence 10 years later if they also had a family history of alcoholism. These results suggest an at-risk group that can be identified prior to the development of alcohol dependence. Further, the findings suggest utility in investigating the interaction of drinking motives with measured genetic polymorphisms in predicting alcohol dependence. [ABSTRACT FROM AUTHOR]

Background: Drinking during pregnancy dropped sharply in the U.S. in the 1980s. More recent time trends in adult drinking and binge drinking in men, non-pregnant and pregnant women have not been directly compared.Methods: Using logistic regression and National Surveys on Drug Use and Health (NSDUH) 2002-2017 data on any drinking and 2002-2014 data on binge drinking, trends in men, non-pregnant and pregnant women were compared. Analyses of any drinking included 470,309 participants (221,344 men; 236,197 non-pregnant women; 12,768 pregnant women); of binge drinking, 379,379 participants (178,869 men; 189,923 non-pregnant women; 10,587 pregnant women).Results: In all participants, drinking decreased (62.2%-60.3%). Among adults ages 18-20, drinking decreased in men, non-pregnant women, and pregnant women (-18.4%; -11.1%; -5.3%), as did binge drinking (-11.8%; -5.6%; -3.7%). Among adults ages 21-44, drinking increased in non-pregnant women (+2.3%), and decreased in men and pregnant women (-2.6% and -3.3%), while binge drinking increased in non-pregnant women (+2.7%), but not in pregnant women (-1.8%) or men (0.0%).Conclusions: Drinking increased in U.S. women ages 21-44, but not those who were pregnant. Increases in women and continuing high rates in men indicate the need for better public health efforts. Divergent trends in men, non-pregnant, and pregnant women ages 21-44 suggest differential influences on drinking. Continued low rates in pregnant women are encouraging, but maintaining public health messages about drinking during pregnancy and innovative efforts to prevent such drinking are needed. Different results in ages 18-20 and 21-44 highlight the importance of developmental stages in drinking. [ABSTRACT FROM AUTHOR]

Background: Heavy drinking is harmful for individuals with liver disease. However, some of these individuals drink despite knowledge of the risks. The current study aims to identify factors underlying drinking despite health problems among individuals with liver disease.Methods: The current study utilizes a subsample of individuals reporting past-year liver disease and at least one drink in the past year (n=331), taken from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III), a large nationally representative survey of the United States. Participants reported on drinking despite health problems, symptoms of psychopathology, and family history of alcohol problems in a cross-sectional survey.Results: Drug use disorders (Adjusted Odds Ratio [AOR]=2.68), as well as borderline, antisocial, and schizotypal personality disorders (AORs=2.50-4.10), were associated with increased likelihood of drinking despite health problems among individuals with liver disease, all ps<0.05. Any anxiety disorder trended toward significance (AOR=2.22), p=0.06, but major depressive disorder was not associated with increased risk, (AOR=0.99), ps=0.97. Individuals with a family history of alcohol problems were also more likely to drink despite health problems (AOR=2.79), p<0.05.Conclusions: Several types of psychopathology, as well as a family history of alcohol problems, increased the likelihood of drinking despite health problems among individuals with liver disease. These findings highlight the need to intervene with heavily drinking individuals with liver disease, who may be drinking due to familial risk and/or comorbid psychopathology. [ABSTRACT FROM AUTHOR]

Background For individuals with HIV, heavy drinking can pose serious threats to health. Some interventions are effective at reducing drinking in this population, but many HIV-infected heavy drinkers also use marijuana or cocaine. Although these drugs have predicted poor alcohol outcomes in other treatment studies, whether this occurs among HIV patients who drink heavily is unknown. Methods Participants were binge-drinking HIV primary care patients ( N = 254) enrolled in a randomized trial of three brief drinking interventions over 60 days that varied in intensity. We investigated the relationship of baseline past-year drug use (marijuana-only, cocaine-only, both, neither) to end-of-treatment drinking quantity and frequency. We also evaluated whether the relationship between intervention type and end-of-treatment drinking varied by baseline drug use. Final models incorporated control for patients’ demographic and HIV characteristics. Results In final models, drinking frequency at the end of treatment did not vary by baseline drug use, but drinking quantity did ( X 2 [3] = 13.87, p < 0.01), with individuals using cocaine-only drinking significantly more per occasion ( B = 0.32, p < 0.01). Baseline drug use also interacted with intervention condition in predicting end-of-treatment drinking quantity ( X 2 [6] = 13.98, p < 0.05), but not frequency, with the largest discrepancies in end-of-treatment drinks per drinking day by intervention intensity among cocaine-only patients. Conclusions In general, HIV patients using cocaine evidenced the highest levels of drinking after alcohol intervention. However, these individuals also evidenced the most pronounced differences in end-of-treatment drinking by intervention intensity. These results suggest the importance of more intensive intervention for individuals using alcohol and cocaine. [ABSTRACT FROM AUTHOR]

Background: Loneliness is a widespread problem, with demonstrated negative health effects. However, prospective data on the relationship between loneliness and problematic substance use are lacking, and few studies have examined specific commonplace substances, such as alcohol and cannabis. This study used prospective data from a community sample of US adults with problematic alcohol or cannabis use to examine whether loneliness was a predictor of subsequent increased substance use.Methods: Participants (N = 210) were recruited between 05/2016-06/2019 from a New York City medical center. At baseline, 3-month, and 6-month follow-ups, participants completed identical computerized questionnaires. We used generalized estimating equations to assess the average effect of past 2-week loneliness on subsequent number of days of alcohol or cannabis use, controlling for baseline days of use, demographic characteristics, and past 2-week DSM-5 depression.Results: Compared with individuals who were never lonely, participants with moderate or severe loneliness had a significantly higher frequency of alcohol or cannabis use at the subsequent assessment (β = 0.25 95% CI: 0.08-0.42).Conclusion: Individuals experiencing loneliness at least a few times in the past 2 weeks reported more days of subsequent alcohol or cannabis use compared with individuals who were not lonely. This is cause for concern, as national surveys of US adults indicate increasing rates of loneliness, depression and substance use during the COVID-19 pandemic. These results suggest the need for health care providers to screen for feelings of loneliness and potentially harmful coping behaviors such as substance use, and to offer healthier alternative coping strategies. [ABSTRACT FROM AUTHOR]

Abstract: Background: This study aims to estimate general and racial-ethnic specific cumulative probability of developing dependence among nicotine, alcohol, cannabis or cocaine users, and to identify predictors of transition to substance dependence. Methods: Analyses were done for the subsample of lifetime nicotine (n =15,918), alcohol (n =28,907), cannabis (n =7389) or cocaine (n =2259) users who participated in the first and second wave of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC). Discrete-time survival analyses were implemented to estimate the cumulative probability of transitioning from use to dependence and to identify predictors of transition to dependence. Results: The cumulative probability estimate of transition to dependence was 67.5% for nicotine users, 22.7% for alcohol users, 20.9% for cocaine users, and 8.9% for cannabis users. Half of the cases of dependence on nicotine, alcohol, cannabis and cocaine were observed approximately 27, 13, 5 and 4 years after use onset, respectively. Significant racial-ethnic differences were observed in the probability of transition to dependence across the four substances. Several predictors of dependence were common across the four substances assessed. Conclusions: Transition from use to dependence was highest for nicotine users, followed by cocaine, alcohol and cannabis users. Transition to cannabis or cocaine dependence occurred faster than transition to nicotine or alcohol dependence. The existence of common predictors of transition dependence across substances suggests that shared mechanisms are involved. The increased risk of transition to dependence among individuals from minorities or those with psychiatric or dependence comorbidity highlights the importance of promoting outreach and treatment of these populations. [Copyright &y& Elsevier]

Background: Substance use can reduce care engagement for individuals with HIV. However, little is known as to whether heavy drinkers differ from drug users. This study compares heavy drinkers, drug users, and those drinking heavily and using drugs on their HIV care engagement.Methods: HIV-infected adult inpatients (n = 801; 67% male; 78% Black) from 11 urban hospitals across the United States participated in a multisite clinical trial to improve patient engagement in HIV care and virologic outcomes. All participants drank heavily and/or used drugs, and had poorly controlled HIV. Participants reported care history at baseline. We compared heavy drinkers, drug users, and those both drinking heavily and using drugs (reference group) on their engagement in care.Results: Heavy drinkers reported lowest rates of lifetime HIV care, AOR = 0.59 (95% CI = 0.36, 0.97). Groups did not differ in recent care, prescription of HIV medication, medical mistrust, or patient-provider relationship. Drug users evidenced the best medication adherence, AOR = 2.38 (95% CI = 1.33, 4.23). Exploratory analyses indicated that drinkers had lower initial care engagement, but that it increased more rapidly with duration of known HIV infection, with similar rates of recent care. Drinkers had the lowest CD4 counts (B=-0.28, p < 0.0001), but no difference in viral load.Conclusions: Heavy drinkers were least likely to have ever been in HIV care. More research is needed to determine why heavy drinkers evidence the lowest initial care engagement and current CD4 counts, and whether drinking intervention early in infection may increase HIV care engagement. [ABSTRACT FROM AUTHOR]

Background: Non-abstinent drinking reductions that predict improvement in how individuals feel or function, such as the World Health Organization (WHO) drinking risk levels, may be useful outcomes in clinical trials for alcohol use disorders (AUD).Methods: Current drinkers in a U.S. national survey (n = 22,005) were interviewed in 2001-02 (Wave 1) and re-interviewed 3 years later (Wave 2). WHO drinking risk levels, a 4- level categorization system (very-high-risk, high-risk, moderate-risk, and low-risk drinkers) defined using estimated mean ethanol consumption (grams) per day in the prior 12 months, and DSM-IV depressive and anxiety disorders were assessed at both waves. Logistic regression was used to produce adjusted odds ratios (aOR) testing the associations of changes between Wave 1 and Wave 2 WHO risk levels to the presence or persistence of depression and/or anxiety disorder by each initial Wave 1 risk level.Results: Among Wave 1 very-high-risk drinkers, lower odds of depression and/or anxiety disorders at Wave 2 were predicted by reductions in WHO risk levels of one-, two- or three-levels (aOR = 0.42, 0.37, 0.67, p-values 0.04-<.0001), as was the persistence of depression and/or anxiety disorders among those with such disorders at Wave 1 (aOR = 0.37, 0.29, 0.51, p-values .03-<.0001). Results were less consistent for participants initially drinking at lower risk levels.Conclusions: Among very-high-risk drinkers, reductions in the WHO drinking risk categories were associated with lower risk of depression and/or anxiety disorders. These results add to findings indicating reductions in WHO risk levels are a meaningful indicator of how individuals feel and function. [ABSTRACT FROM AUTHOR]

Abstract: Background: Heavy alcohol consumption in HIV patients is an increasing health concern. Applying the drinking motivational model to HIV primary care patients, drinking motives (drinking to cope with negative affect, for social facilitation, and in response to social pressure) were associated with alcohol consumption at a baseline interview. However, whether these motives predict continued heavy drinking or alcohol dependence in this population is unknown. Methods: Participants were 254 heavy-drinking urban HIV primary care patients (78.0% male; 94.5% African American or Hispanic) participating in a randomized trial of brief drinking-reduction interventions. Drinking motive scales, as well as measures of alcohol consumption and alcohol dependence, were administered at baseline. Consumption and dependence measures were re-administered at the end of treatment two months later. Regression analyses tested whether baseline drinking motive scale scores predicted continued heavy drinking and alcohol dependence status at the end of treatment, and whether motives interacted with treatment condition. Results: Baseline drinking to cope with negative affect predicted continued heavy drinking (p <0.05) and alcohol dependence, the latter in both in the full sample (adjusted odds ratio [AOR]=2.14) and among those with baseline dependence (AOR=2.52). Motives did not interact with treatment condition in predicting alcohol outcomes. Conclusions: Drinking to cope with negative affect may identify HIV patients needing targeted intervention to reduce drinking, and may inform development of more effective interventions addressing ways other than heavy drinking to cope with negative affect. [Copyright &y& Elsevier]