Objective: College campuses report alcohol and other drug policy violations as the most frequent reason students receive disciplinary referrals and, thus, are mandated to programming. This study sought to determine predictors of mandated students’ alcohol use frequency, and the likelihood of early-onset alcohol using college students enrolled in mandated programming engaging in current polysubstance use. Methods and participants: Employing a purposive sampling method, n = 822 participants were recruited from a pool of students who violated their university’s alcohol policy between October 2019 and July 2021. Results: Data analysis revealed early-onset alcohol use (p < .001), gender ID (p < .01), Greek Affiliation (p < .001), ethnicity (p < .05), and perceived norms (p < .001) significantly predicted alcohol frequency. Analysis also revealed engaging in early-onset alcohol use significantly predicted current participation in polysubstance use (p < 0.01), outside of controls. Conclusions: University programs should consider exploring polysubstance use targeted interventions to mitigate these harmful behaviors and associated negative consequences.

Background: Dry January, a temporary alcohol abstinence campaign, encourages individuals to reflect on their relationship with alcohol by temporarily abstaining from consumption during the month of January. Though Dry January has become a global phenomenon, there has been limited investigation into Dry January participants’ experiences. One means through which to gain insights into individuals’ Dry January-related experiences is by leveraging large-scale social media data (eg, Twitter chatter) to explore and characterize public discourse concerning Dry January. Objective: We sought to answer the following questions: (1) What themes are present within a corpus of tweets about Dry January, and is there consistency in the language used to discuss Dry January across multiple years of tweets (2020-2022)? (2) Do unique themes or patterns emerge in Dry January 2021 tweets after the onset of the COVID-19 pandemic? and (3) What is the association with tweet composition (ie, sentiment and human-authored vs bot-authored) and engagement with Dry January tweets? Methods: We applied natural language processing techniques to a large sample of tweets (n=222,917) containing the term “dry january” or “dryjanuary” posted from December 15 to February 15 across three separate years of participation (2020-2022). Term frequency inverse document frequency, k-means clustering, and principal component analysis were used for data visualization to identify the optimal number of clusters per year. Once data were visualized, we ran interpretation models to afford within-year (or within-cluster) comparisons. Latent Dirichlet allocation topic modeling was used to examine content within each cluster per given year. Valence Aware Dictionary and Sentiment Reasoner sentiment analysis was used to examine affect per cluster per year. The Botometer automated account check was used to determine average bot score per cluster per year. Last, to assess user engagement with Dry January content, we took the average number of likes and retweets per cluster and ran correlations with other outcome variables of interest. Results: We observed several similar topics per year (eg, Dry January resources, Dry January health benefits, updates related to Dry January progress), suggesting relative consistency in Dry January content over time. Although there was overlap in themes across multiple years of tweets, unique themes related to individuals’ experiences with alcohol during the midst of the COVID-19 global pandemic were detected in the corpus of tweets from 2021. Also, tweet composition was associated with engagement, including number of likes, retweets, and quote-tweets per post. Bot-dominant clusters had fewer likes, retweets, or quote tweets compared with human-authored clusters. Conclusions: The findings underscore the utility for using large-scale social media, such as discussions on Twitter, to study drinking reduction attempts and to monitor the ongoing dynamic needs of persons contemplating, preparing for, or actively pursuing attempts to quit or cut down on their drinking.

This review analyzed the effectiveness of mandated substance use interventions in reducing future cannabis or other illicit drug use. Findings indicated that early decreases in cannabis and other drug use are commonly reported among students participating in mandated interventions. The longer time elapses post-intervention, the more likely recidivism will occur. Universities are in a unique position to provide support for students who use cannabis by employing some of the effective methods discovered in this review.

Purpose: Although rural sexual minority men (SMM) use substances immediately before/during sex (i.e., sexualized drug use), the factors contributing to this behavior are unknown. We examined the factors associated with past year sexualized drug use among rural SMM. Methods: Rural SMM in the Southern region of the United States ( N = 345) completed an online cross‐sectional survey from February to March 23, 2024. Participants answered questions about their sexualized drug use behaviors, sexual behaviors, minority stressors, and demographics. We conducted a hierarchical logistic regression to estimate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for factors associated with past year sexualized drug use. Findings: Over three‐quarters of participants (79.7%) used substances immediately before/during sex in the past year. Sexualized drug use was associated with exposure to sexual minority stressors, polysubstance use, sexually transmitted infection testing, having oral sex, receiving drugs from a man in exchange for sex, and older age. Conclusion: Sexualized drug use is prevalent among rural SMM, and sexual minority stressors and past year sexual risk and substance misuse behaviors were contributing factors. Rural primary care clinics, human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) service organizations, and outpatient and inpatient substance use organizations should implement integrative sexual and substance use screening, counseling, and referral services for their rural clients.