The role of alcohol and cannabis co-use in drinking rate and its impact on consequences.

BACKGROUND: The impact of alcohol and cannabis co-use on college student drinking and related outcomes is complex. Specific characteristics or patterns of co-use events beyond drinking quantity may be important to the experience of consequences. The present study used repeated daily surveys to examine the association between co-use (versus use of alcohol only) and drinking rate on negative consequences. METHODS: The sample included 318 college students (Mage  = 19.8, 47% female, 76% non-Hispanic White) who were co-users of alcohol and cannabis, recruited from three U.S. college campuses. Participants completed 56 days of data collection (number of drinking days ranged from 1 to 38). Two measures of drinking rate were examined: (1) daily rate (number of drinks divided by number of hours spent drinking per day); and (2) peak hour rate (maximum number of drinks consumed in a single hour) to account for anomalous drinking days of long duration. Generalized linear mixed models examined: (1) associations of co-use with peak hour rate (model 1a) and daily rate (model 1b); (2) associations of peak hour rate (model 2a) and daily rate (model 2b) with experiencing any negative consequence; and (3) interactions of co-use with peak hour rate (model 3a) and daily rate (model 3b) on experiencing a consequence. RESULTS: Co-use was positively associated with peak hour rate but not daily rate. Both peak hour and daily rate positively predicted likelihood of experiencing a negative consequence. The interaction of both peak hour and daily rate by co-use was significant such that the association of rate with experiencing a consequence was stronger on alcohol-only days compared to co-use days. CONCLUSIONS: Daily drinking rate and peak hour drinking rate are unique and should be considered when discussing drinking patterns. Both predict negative consequences and may be important aspects of interventions for negative drinking-related outcomes among college students.

Substance-Specific Risk Factors among Young Adults: Potential Prevention Targets across Cannabis-Permissive Environments.

PURPOSE: This study examined levels of substance-specific risk factors such as perception of harm from substance use among young adults in a range of cannabis-permissive environments. The main objective was to inform future preventive interventions aimed at reducing cannabis use in the context of increasingly permissive environments. METHODS: Data came from the Community Youth Development Study (CYDS) collected in 2016 when participants were about 23 years old (n = 1,722 participants residing in 46 U.S. states). Young adults self-reported their perceptions about the harms related to cannabis, alcohol, and cigarette use; attitudes about and ease of access to cannabis and other substances; and perceived wrongfulness and social acceptability of cannabis, alcohol, and cigarette use and of selling of cannabis and other illegal drugs. RESULTS: Young adults in more permissive cannabis contexts reported higher levels of all cannabis-specific risk factors (e.g., greater access to and more favorable attitudes about cannabis use), except for perception of harm from regular cannabis use. However, permissiveness of the cannabis environment was not associated with heightened levels of risk factors for other substance use (such as alcohol, cigarettes, and opioids). CONCLUSIONS: Future preventive interventions for young adults living in more permissive cannabis contexts may need to focus on cannabis-specific risk factors in particular and go beyond considerations of harm from regular use. Future studies should replicate these findings with other samples.

Changes in Alcohol Use and Drinking Context due to the COVID-19 Pandemic: A Multimethod Study of College Student Drinkers.

BACKGROUND: In spring 2020, U.S. universities closed campuses to limit the transmission of COVID-19, resulting in an abrupt change in residence, reductions in social interaction, and in many cases, movement away from a heavy drinking culture. The present mixed-methods study explores COVID-19-related changes in college student drinking. We characterize concomitant changes in social and location drinking contexts and describe reasons attributed to changes in drinking. METHODS: We conducted two studies of the impact of the COVID-19 pandemic on drinking behavior, drinking context, and reasons for both increases and decreases in consumption among college students. Study 1 (qualitative) included 18 heavy-drinking college students (Mage  = 20.2; 56% female) who completed semi-structured interviews. Study 2 (quantitative) included 312 current and former college students who reported use of alcohol and cannabis (Mage  = 21.3; 62% female) and who completed an online survey. RESULTS: In both studies, COVID-19-related increases in drinking frequency were accompanied by decreases in quantity, heavy drinking, and drunkenness. Yet, in Study 2, although heavier drinkers reduced their drinking, among non-heavy drinkers several indices of consumption increased or remained stable . Both studies also provided evidence of reductions in social drinking with friends and roommates and at parties and increased drinking with family. Participants confirmed that their drinking decreased due to reduced social opportunities and/or settings, limited access to alcohol, and reasons related to health and self-discipline. Increases were attributed to greater opportunity (more time) and boredom and to a lesser extent, lower perceived risk of harm and to cope with distress. CONCLUSION: This study documents COVID-19-related changes in drinking among college student drinkers that were attributable to changes in context, particularly a shift away from heavy drinking with peers to lighter drinking with family. Given the continued threat of COVID-19, it is imperative for researchers, administrators, and parents to understand these trends as they may have lasting effects on college student drinking behaviors.

Forgoing plans for alcohol and cannabis use in daily life: Examining reasons for nonuse when use was planned in a predominantly white college student sample.

BACKGROUND: The reasons for college students to abstain from alcohol and cannabis use on a given day can inform efforts to prevent or intervene in those behaviors. Research on reasons for alcohol nonuse remains in its nascent stages and no study to date has examined reasons for cannabis nonuse on a given day. Here we examine reasons for nonuse among college students after they planned to use alcohol and/or cannabis. METHODS: College students (N = 341; Mage  = 19.79; 53% women; 74% White) from 3 universities completed 54 days of data collection across which approximately 50% were nonuse days. Each morning, participants indicated whether they planned to use that day; nonuse reasons were assessed the next morning, if applicable. Generalized linear mixed-effects models were used to disentangle within- and between-person effects. RESULTS: On a given nonuse day (at the within-person level), "work" and "school" were reasons associated with having no plan to use alcohol and "to feel in control" was linked to having no plan to use cannabis. "Did not want to get high" was related to forgoing plans (did not use when originally planned) for alcohol use at the within-person level. At the between-person level, "no desire" was associated with no plans for alcohol or cannabis use and "did not want to get high" was related to no plans for cannabis use. "School" and "could not get" were related to forgoing plans for alcohol and cannabis use, respectively, at the between-person level. CONCLUSION: An examination of earlier intentions for alcohol and/or cannabis use on nonuse days yielded novel findings on the intention-behavior gap. Reasons for nonuse can inform intervention and prevention strategies (e.g., those involving social norms or just-in-time adaptive efforts) for alcohol and cannabis use on college campuses.

Does the Combination Matter? Examining the Influence of Alcohol and Cannabis Product Combinations on Simultaneous Use and Consequences in Daily Life.

BACKGROUND: Alcohol and marijuana/cannabis are frequently used simultaneously (i.e., SAM use). SAM use is complex, and the ways in which alcohol and cannabis are simultaneously used may reveal differential effects. The purpose of this study was to examine day-level effects of distinct alcohol and cannabis product combinations on simultaneous use and consequences on that day. METHODS: College student SAM users (N = 274; 50% women; Mage  = 19.82 years) were recruited to complete 54 days of data collection, including 5 repeated daily surveys each day. We identified 12 distinct product combinations reported during SAM-use days. We tested 4 reference groups, with one reflecting the most common use pattern and 3 potentially risky use patterns. We considered 3 outcomes (negative consequences, number of drinks, and number of cannabis uses) and used generalized linear mixed-effects models disentangling within- from between-person effects in all analyses. RESULTS: Using multiple products (≥2) of alcohol was consistently linked to higher odds of experiencing a negative consequence. Combining beer with only one cannabis product (leaf or concentrate) was consistently associated with lower odds of a consequence. Combining cannabis with multiple alcohol products was associated with heavier alcohol consumption. Using dual cannabis products also was associated with heavier cannabis consumption, but this pattern was not significantly different than using concentrate only on a given day. CONCLUSION: This is the first study to examine day-level influences of distinct alcohol and cannabis product combinations on consumption and consequences among young adult SAM users. Findings suggest that mixing alcohol products confers greater risk for negative consequences and heavier consumption, whereas there is little difference in cannabis consumption when using concentrate only vs. 2 cannabis products on a given day, except for concentrate + beer. Our findings support existing protective strategies of not mixing alcohol products and avoiding use of cannabis concentrate for SAM use as well.

A Marijuana Consequences Checklist for Young Adults with Implications for Brief Motivational Intervention Research.

Measures assessing marijuana-related consequences or problems experienced by young adults have typically been adapted from measures assessing alcohol consequences. These measures may not fully reflect the specific unwanted or perceived "not so good" effects of marijuana that are experienced by young adults. Thus, using these measures may present a gap, which needs to be addressed, given that reports of consequences are often utilized in brief motivational personalized feedback interventions. Data from three different studies of young adults were used to (1) examine self-reported "not so good" effects or consequences of marijuana use among frequent marijuana-using college students (Study 1), (2) create a new version of a marijuana consequences list and compare it to an existing marijuana consequences measure (Study 2), and (3) assess convergent and divergent validity between a finalized Marijuana Consequences Checklist (MCC, 26-items) and marijuana use and risk for cannabis use disorder (Study 3). The most frequently endorsed self-reported effects of marijuana included the impact on eating (the "munchies"), dry mouth, trouble concentrating, and acting foolish or goofy. Higher scores on the MCC were associated with more frequent use and a higher probability of meeting criteria for cannabis use disorder. The MCC represents a range of negative consequences of marijuana use derived from frequent users' own accounts and includes consequences not assessed by other measures. The MCC captures marijuana-specific negative consequences relevant for young adults, which can be incorporated in brief motivational personalized feedback interventions.

Patterns, Consequences, and Motives in Simultaneous Use of Prescription Stimulant Medication with Alcohol and Marijuana.

OBJECTIVE: Nonmedical use of prescription stimulants (NPS) continues to be a concern on college campuses. Previous research demonstrates a strong link between NPS and use of other substances, particularly alcohol and marijuana among college students. Simultaneous use of NPS with other substances has become an increasing concern. Given the high rates of NPS and simultaneous NPS with other substances, research examining substance use patterns and motives among students is warranted. Method: This study evaluated group differences in alcohol and marijuana use patterns, consequences, and motives among college students: a) with no NPS history (No NPS); b) engaged in NPS with no simultaneous use (Non-Sim NPS); and c) engaged in simultaneous NPS with alcohol and/or marijuana (Sim NPS). Participants included 1,108 students from three universities who reported past-year marijuana and alcohol use. Results: Overall, 32.8% reported lifetime NPS with 12.5% indicating NPS in the previous 3 months, of which 51.1% reported simultaneous NPS with alcohol and 40.2% with marijuana. Significant group differences for all drinking and marijuana outcomes were found, with heaviest rates among the Sim NPS group, followed by the Non-Sim NPS group, and the No NPS group. The Sim NPS group reported greater motives for using marijuana to alter the effects of other substances. Conclusions: College students engaged in simultaneous NPS with alcohol and marijuana are a high-risk group that should be the focus of prevention and intervention programs in the campus setting.

Heaviness of Alcohol Use, Alcohol Problems, and Subjective Intoxication Predict Discrepant Drinking Reports in Daily Life.

BACKGROUND: Self-reported consumption is pervasive in alcohol research, though retrospective recall bias is a concern. Fine-grained methods are designed to limit retrospection; yet, discrepancies can arise when comparing responses on fine-grained surveys with responses to retrospective surveys across weeks or months. Many fine-grained studies use both repeated daily surveys (RDS) and end-of-day (EOD) summaries, but little research has examined whether these survey types are consistent. The purpose of this study was to quantify the magnitude and directionality of discrepancy between EOD summaries and RDS and identify alcohol-related predictors of discrepancy. METHODS: As a part of a larger study, college student alcohol and cannabis users (N = 341; 53% women; Mage  = 19.79 years) were recruited to complete 56 days of data collection, including 5 daily assessments of their substance use and related constructs, one of which included an EOD summary of the previous day. Generalized linear mixed-effects models were used to examine between- and within-person predictors of a 5-category, discrepancy outcome: no discrepancy, low discrepancy where RDS < EOD, low discrepancy where EOD < RDS, high discrepancy where RDS < EOD, and high discrepancy where EOD < RDS. RESULTS: Discrepancies between EOD and RDS were observed in both directions. Alcohol problems predicted more alcohol consumption reported on the EOD survey than across RDS. Within-person alcohol quantity and hourly rate of consumption were most strongly related to less alcohol consumption reported on the EOD survey. Between- and within-person peak subjective intoxication and within-person liquor consumption were associated with discrepancies in both directions. CONCLUSIONS: Surveys requiring more retrospection may overestimate alcohol consumption in problematic drinkers and underestimate consumption on days where more alcohol is consumed than typical. Evidence also suggests that greater day-to-day instability in alcohol behavior is linked to less consistent reporting overall. More research is needed to discern factors contributing to inconsistent reporting on fine-grained surveys to maximize the validity of reports.

Prevalence and Correlates of Concurrent and Simultaneous Cannabis and Cigarette Use among Past-Year Cannabis-Using US College Students.

Background: Cannabis and tobacco use are significant public health concerns among young adults, with concurrent (in the same time period) and simultaneous (at the same time so the effects overlap) use of both substances on the rise. Few studies have examined these behaviors among college students. Objective: We examined the prevalence of concurrent and simultaneous cannabis and cigarette (combustible or electronic) use among a sample of college students and characterized the psychosocial predictors of concurrent and simultaneous use compared to using cannabis alone. Methods: Data on past-3 months cannabis and cigarette use were collected on 1352 college students who were past-year cannabis and alcohol users yielding four groups: cannabis-only users (n = 686), concurrent cannabis and cigarette users (CCAC; n = 235), simultaneous cannabis and cigarette users (SCAC; n = 293), and non-recent users of either substance (n = 138). Multinomial logistic regression analyses were utilized to predict group membership. Results: Relative to the cannabis-only group, White, compared to Non-White students, males, compared to females, frequent, compared to infrequent, alcohol users, including those who used alcohol simultaneously with cigarettes, and illicit drug users were more likely to belong to the CCAC or SCAC group. Conclusions: Findings suggest the need for unique intervention efforts to prevent onset or reduce co-use among male and White students as well as illicit drug users and frequent alcohol users.

Simultaneous Alcohol and Marijuana Use Among College Students: Patterns, Correlates, Norms, and Consequences.

BACKGROUND: Alcohol and marijuana users often engage in simultaneous alcohol and marijuana (SAM) use (i.e., using the 2 substances together so that their effects overlap), which can result in more negative consequences than using either substance alone. Nevertheless, little is known about SAM use among contemporary college students to aid in the development of preventive interventions. This study examined SAM use patterns, demographic correlates of SAM use, and normative influences on SAM use and related negative consequences among college students. METHODS: Students who had used alcohol and marijuana in the past year were recruited from 3 state universities in states with different laws regarding recreational marijuana use (N = 1,389). They completed an online survey, which assessed their own alcohol, marijuana, and SAM use and related consequences, their perceptions of the proportion of same-gender peers and close friends who engaged in SAM use, marijuana access, and demographic characteristics. RESULTS: About three-fourths of participants reported at least 1 occasion of SAM use in the past year with an average frequency of twice per month among SAM users. There were significant differences in SAM use prevalence and frequency by sociodemographic characteristics controlling for past-year alcohol and marijuana frequency. Students in a state with decriminalized recreational marijuana use reported higher frequency of past-year SAM use than students in states with legalized or criminalized use. There were significant demographic differences in perceived norms regarding SAM use among close friends and same-gender peers. SAM users endorsed significantly higher perceived peer and friend norms than nonusers. Also, higher perceived norms predicted more frequent SAM use and more negative consequences of use. CONCLUSIONS: Results indicate a need for prevention programs on college campuses that address SAM use. Interventions that use personalized normative feedback may be effective.

The Interplay Between Marijuana-Specific Risk Factors and Marijuana Use Over the Course of Adolescence.

Permissive attitudes and norms about marijuana use and perceptions of low harm from use are considered risk factors for adolescent marijuana use. However, the relationship between risk and use may be reciprocal and vary across development and socializing domains. We examined the bidirectional relationships between marijuana-specific risk factors in individual, parent, peer, and community domains and adolescent marijuana use. Longitudinal data came from a sample of 2002 adolescents in 12 communities. Controlling for sociodemographic covariates and communities in which the individuals resided, autoregressive cross-lagged models examined predictive associations between the risk factors and marijuana use. After accounting for concurrent relationships between risk and use and stability in behavior over time, early adolescence and the transition to high school were particularly salient developmental time points. Specifically, higher risk in all four domains in grades 7 and 9 predicted greater use 1 year later. Moreover, youth's perception of lax community enforcement of laws regarding adolescent use at all time points predicted increases in marijuana use at the subsequent assessment, and perceived low harm from use was a risk factor that prospectively predicted more marijuana use at most of the time points. Finally, greater frequency of marijuana use predicted higher levels of risk factors at the next time point in most socializing domains throughout adolescence. Prevention programs should take into account developmental transitions, especially in early adolescence and during the transition to high school. They also should focus on the reciprocal relationships between use and risk across multiple socializing domains.

The association between protective behavioral strategies and alcohol-related problems: An examination of race and gender differences among college drinkers.

This study examined race and gender differences in use of specific types of protective behavioral strategies (PBS) and the moderating effects of race and gender on the relationship between PBS use and alcohol problems, controlling for alcohol use, among a large sample of Asian, Black, and White college drinkers. There were significant racial and gender differences in the types of PBS used. Moderation analyses indicated that PBS were more protective for women than men against experiencing alcohol-related problems. There were no significant race effects or race-by-gender interaction effects on alcohol problems. Implementing PBS may be beneficial for all college students.

Brief motivational interventions for college student drinking may not be as powerful as we think: an individual participant-level data meta-analysis.

BACKGROUND: For over 2 decades, brief motivational interventions (BMIs) have been implemented on college campuses to reduce heavy drinking and related negative consequences. Such interventions include in-person motivational interviews (MIs), often incorporating personalized feedback (PF), and stand-alone PF interventions delivered via mail, computer, or the Web. Both narrative and meta-analytic reviews using aggregate data from published studies suggest at least short-term efficacy of BMIs, although overall effect sizes have been small. METHODS: This study was an individual participant-level data (IPD) meta-analysis of 17 randomized clinical trials evaluating BMIs. Unlike typical meta-analysis based on summary data, IPD meta-analysis allows for an analysis that correctly accommodates the sampling, sample characteristics, and distributions of the pooled data. In particular, highly skewed distributions with many zeroes are typical for drinking outcomes, but have not been adequately accounted for in existing studies. Data are from Project INTEGRATE, one of the largest IPD meta-analysis projects to date in alcohol intervention research, representing 6,713 individuals each with 2 to 5 repeated measures up to 12 months postbaseline. RESULTS: We used Bayesian multilevel over dispersed Poisson hurdle models to estimate intervention effects on drinks per week and peak drinking, and Gaussian models for alcohol problems. Estimates of overall intervention effects were very small and not statistically significant for any of the outcomes. We further conducted post hoc comparisons of 3 intervention types (individual MI with PF, PF only, and group MI) versus control. There was a small, statistically significant reduction in alcohol problems among participants who received an individual MI with PF. Short-term and long-term results were similar. CONCLUSIONS: This study questions the efficacy and magnitude of effects of BMIs for college drinking prevention and intervention and suggests a need for the development of more effective intervention strategies.

Marijuana motivations across adolescence: impacts on use and consequences.

UNLABELLED: Background. Motivational models for marijuana use have focused on reasons to use marijuana, but rarely consider motives to abstain. OBJECTIVES: We examined how both adolescent marijuana abstinence motives and use motives contribute to marijuana use and problems at the end of emerging adulthood. Methods. 434 community recruited youth who had not initiated marijuana use at baseline were followed from adolescence (at ages 12, 15, and 18 years) into emerging adulthood (age 25 years). Motives to abstain and to use marijuana, marijuana consumption, and marijuana-related problems were assessed across time. Results. Endorsing more motives to abstain from marijuana across adolescence predicted less marijuana use in emerging adulthood and fewer marijuana-related problems when controlling for past motives to abstain and marijuana-related behavior. Positive reinforcement use motives related to increased marijuana consumption and problems, and negative reinforcement motives predicted problems when controlling for past marijuana use motives and behaviors. Expansion motives during adolescence related to lower marijuana use in emerging adulthood. When considered together, motives to abstain buffered the effect of negative reinforcement motives on outcomes at age 25 for youth endorsing a greater number of abstinence motives. Conclusions/ Implications. Given these findings, inclusion of both motives to use and abstain is warranted within comprehensive models of marijuana use decision making and may provide important markers for prevention and intervention specialists.

Differential evaluations of alcohol-related consequences among emerging adults.

Personalized feedback interventions (PFIs) to reduce drinking in college students often provide feedback about negative alcohol-related consequences experienced by students to motivate them to drink less. Yet, there is evidence which suggests that not everyone perceives consequences as negative and raises questions regarding the utility of consequence-specific feedback for some individuals. The purpose of the current study was to extend this research to examine salience of consequences among both college and non-college emerging adults, differences in ratings by sex, age, and frequency of experiencing consequences, and the relationship between salience measured in emerging adulthood and drinking patterns in young adulthood. Data were from an accelerated cohort study of males and females (N = 1,308), who were either age 18, 21, or 24 years at the time of consequence evaluation and followed-up 7 years later. Most experienced consequences were rated as at least a little bothersome. Regression analyses indicated that females, older participants, and those who experienced a consequence more often evaluated consequences as more bothersome but there were no differences by college status. Mean ratings of bother did not predict quitting drinking or alcohol problems 7 years later, whereas the number of consequences experienced did. Overall, the results suggest that most consequences are rated similarly by emerging adults regardless of college attendance but that feedback on consequences may be more salient for females and older emerging adults. PFIs may need to differ in the types of feedback they provide depending on demographic characteristics and baseline level of alcohol problems.

Latent Classes of Simultaneous Alcohol and Cannabis Use and Associations with Consequences using Daily Data.

Objective: Simultaneous alcohol and cannabis use (i.e., marijuana, [SAM], using alcohol and cannabis so effects overlap) is associated with increased consumption and consequences compared to single-substance use. SAM use prevalence is increasing, yet there is heterogeneity in use patterns among those engaging in SAM use, which may lead to differential consequences. Method: This study drew on daily data to characterize latent profiles of cannabis, alcohol, and SAM use patterns and to test class differences on related consequences after 3 months among college students engaging in SAM use (77.08% White, 51.67% female). Class indicators were 10 person-level substance use variables derived from repeated daily surveys. Results: Results yielded a three-class solution: Heavy Alcohol, Cannabis, and SAM (Heavy Use, n = 105); Heavy Alcohol-Light Cannabis (n = 75); and Light Alcohol-Heavy Cannabis (n = 60). There were significant person-level differences between classes on all substance use indicators (e.g., quantity and frequency of alcohol, cannabis, and SAM) but not sex or race/ethnicity. At 3-month follow-up, the Heavy Use class endorsed more SAM consequences than the other classes. The Heavy Use class did not differ on alcohol or cannabis consequences compared to the Heavy Alcohol-Light Cannabis or Light Alcohol-Heavy Cannabis classes, respectively. The Light Alcohol-Heavy Cannabis class endorsed the fewest alcohol consequences. The Heavy Alcohol-Light Cannabis class endorsed the fewest cannabis consequences. Conclusions: Findings highlight distinct patterns of co-use and their association with consequences at follow-up. Heavy alcohol or cannabis use was associated with consequences for that substance, but heavy use of only one substance was not indicative of SAM-specific consequences.

A pilot trial of a brief intervention for cannabis use supplemented with a substance-free activity session or relaxation training.

OBJECTIVE: Cannabis use is increasing among college students and commonly co-occurs with anxiety symptoms in this age group. Interventions that reduce anxiety may also reduce cannabis use. Behavioral economic theory suggests that substance use reductions are most likely when there is an increase in substance-free reinforcement. This randomized pilot trial evaluated the efficacy of a brief motivational intervention (BMI) for cannabis supplemented by either a substance-free activity session (SFAS) or a relaxation training (RT) session for reducing cannabis use, problems, craving, and anxiety symptoms. METHOD: One hundred thirty-two college students (Mage = 19.9; 54% female; 67% White, 31% Black) who reported five or more past-month cannabis use days were randomized to: (a) assessment-only (AO); (b) BMI plus SFAS; or (c) BMI plus RT. Participants in the BMI conditions received two individual counselor-administered sessions plus a brief phone booster session. Outcomes were evaluated 1- and 6-months postintervention. RESULTS: Relative to assessment, both BMI + SFAS and BMI + RT were associated with significant reductions in cannabis problems and craving at 1-month follow-up, and significant reductions in anxiety at 6-month follow-up. Relative to AO, BMI + RT was associated with significant reductions in cannabis use at 1-month follow-up. There were no differences between BMI conditions. CONCLUSIONS: This pilot trial was not adequately powered to conclusively evaluate relative efficacy but provides preliminary support for the short-term efficacy of both two-session interventions for reducing anxiety and cannabis-related risk among nontreatment seeking emerging adults. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Motives to drink or not to drink: longitudinal relations among personality, motives, and alcohol use across adolescence and early adulthood.

BACKGROUND: Adolescent selective intervention programs for alcohol have focused on the identification of youth at risk as a function of personality and associated alcohol-related cognitions. Research into the role of personality, drinking motivations, and alcohol-related outcomes has generally focused exclusively on motives to drink. We expand on this literature by focusing on both motives to drink and motives not to drink across time from adolescence to early adulthood in a community sample. METHODS: Using 3 waves of data from 3 cohorts from the Rutgers Health and Human Development Project (n = 1,380; 49.4% women), we modeled the influence of baseline alcohol consumption, disinhibition (DIS), and harm avoidance (ages 15, 18, and 21 years) on drinking motives and motives not to drink 3 years later (ages 18, 21, and 24 years) and alcohol use and drinking-related problems 7 years subsequently (ages 25, 28, and 31 years). RESULTS: Path analytic models were relatively invariant across cohort. Across cohorts, DIS and baseline alcohol consumption related to later positive reinforcement drinking motives, but less consistency was found for the prediction of negative reinforcement motives to drink. While positive reinforcement motives were associated with greater alcohol consumption and problems 7 years later, negative reinforcement motives were generally associated with problems alone. Positive reinforcement motives for drinking mediated relations between baseline consumption and later consumption. However, results were mixed when considering DIS as a predictor and drinking problems as an outcome. Similarly, personality and baseline consumption related to later motives not to drink and such motives predicted subsequent alcohol-related problems. However, mediation was not generally supported for pathways through motives to abstain. CONCLUSIONS: The results of this study replicate and extend previous longitudinal findings with youth and add to the growing literature on motivations not to engage in alcohol use.

An update of research examining college student alcohol-related consequences: new perspectives and implications for interventions.

The objective of this review is to provide an update on existing research examining alcohol-related consequences among college students with relevance for individual-based interventions. While alcohol-related consequences have been a focus of study for several decades, the literature has evolved into an increasingly nuanced understanding of individual and environmental circumstances that contribute to risk of experiencing consequences. A number of risk factors for experiencing alcohol-related consequences have been identified, including belonging to specific student subgroups (e.g., Greek organizations) or drinking during high-risk periods, such as spring break. In addition, the relationship between students' evaluations of both negative and positive consequences and their future drinking behavior has become a focus of research. The current review provides an overview of high-risk student subpopulations, high-risk windows and activities, and college students' subjective evaluations of alcohol-related consequences. Future directions for research are discussed and include determining how students' orientations toward consequences change over time, identifying predictors of membership in high-risk consequence subgroups and refining existing measures of consequences to address evolving research questions.

Treatment outcomes of a combined cognitive behavior therapy and pharmacotherapy for a sample of women with and without substance abuse histories on an acute psychiatric unit: do therapeutic alliance and motivation matter?

BACKGROUND AND OBJECTIVES: Women with comorbid psychiatric and substance abuse problems (PwSA) experience more consequences from their use and typically have the poorest prognosis and outcome, compared to those with psychiatric problems but without substance abuse problems (PwoSA). The present study examined outcomes of a combined intensive inpatient cognitive behavior therapy (CBT) and pharmacotherapy program for women with PwSA and PwoSA. METHODS: Sample consisted of 117 women on a women-only acute inpatient unit (PwSA = 50, PwoSA = 67). RESULTS: Women in both groups made significant improvements in psychological functioning. High motivation at admission and therapeutic alliance at discharge were associated with improved psychological functioning at discharge for both groups. SCIENTIFIC SIGNIFICANCE: Findings provide preliminary support for the efficacy of a combined CBT and pharmacotherapy program for women with psychiatric diagnoses on a women-only acute inpatient unit, and for pre-treatment motivation and therapeutic alliance as important correlates of better treatment outcomes.