Differentiating the role of alcohol in young men’s use of substances with sex: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Alcohol consumption is common among young men and occurs in many contexts. The sexualized substance use literature has generated some insight into the role of alcohol alongside other substances in the context of sex, though there remain opportunities for targeted and context-sensitive studies to examine the sexual practices and outcomes associated with alcohol, specifically. METHODS: This interpretive description study explores how experiences and contexts of alcohol use feature in the sexual lives of young men who use substances with sex. Data collection involved in-depth interviews conducted between 2018 and 2021 in Vancouver, Canada, with N = 76 young men (ages 18-30; mean = 23.9 years) who use substances with sex, including men with diverse sexual identities. Data were analyzed in an iterative manner through a social constructivist lens and an interpretive description framework, leveraging constant comparison techniques. FINDINGS: This analysis yielded three interconnected themes: (1) using alcohol for sexual(ity) freedoms; (2) backgrounding alcohol within a sexualized polysubstance milieu; and (3) navigating the risks and consequences of using alcohol with sex. Alcohol use was found to reduce inhibitions and support experimentation, including by facilitating the transgression of conservative or restrictive social and sexual norms. Alcohol was seldom explicitly classified as a sexualized substance, though it was evidently a widespread and normative social practice. This practice was associated with important risk and consequences, including with respect to consent, pregnancy and sexually transmitted and bloodborne infection risk, and sexual dysfunction. CONCLUSIONS: Findings from this study position alcohol as a backgrounded yet significantly influential substance that young men use with sex. The sexualized use of substances must be understood, and responded to, in a manner that is grounded in harm reduction and that considers the full spectrum of substances-inclusive of but not limited to alcohol-and associated benefits and risks that feature in young men's sexual lives. Specifically, sexual health and primary care providers working with young men should invite and open up meaningful conversation about how they may be using substances (including alcohol) with sex, while offering de-stigmatizing, sex-positive, and affirming education and supports to promote safer sex and substance use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".