Increase in recreational drug use between 2008 and 2018: results from a prospective cohort study among HIV‐negative men who have sex with men
Bibliographic record
Abstract
AIMS: To test whether recreational drug use (RDU) and sexualized drug use (SDU) changed in the Amsterdam area between 2008 and 2018 and quantify associations of SDU with condomless anal sex (CAS), recent human immunodeficiency virus (HIV) or sexually transmitted infections (STI) among human immunodeficiency virus (HIV)-negative men who have sex with men (MSM). DESIGN: Open prospective cohort study. SETTING: Public Health Service of Amsterdam, the Netherlands. PARTICIPANTS: A total of 976 HIV-negative MSM, aged ≥ 18 years. MEASUREMENTS: Self-reported RDU and sexual behaviour in the past 6 months. Laboratory-confirmed HIV and STI (chlamydia, gonorrhoea and syphilis). We studied: any RDU; any SDU (i.e. any RDU during sex); specific SDU (i.e. use of mephedrone, methamphetamine, gamma-hydroxybutyric acid/gamma-butyrolactone, ketamine, amphetamine, cocaine and/or ecstasy during sex); use of individual drugs; and use of individual drugs during sex. We evaluated changes over calendar years in the proportion of individuals with these end-points [using logistic regression with generalized estimating equations (GEE)] and number of drugs (using negative binomial regression with GEE), adjusted for current age, country of birth and education level. FINDINGS: Median age of participants in 2008 was 33.2 years (interquartile range = 27.8-40.1); 83.1% were born in the Netherlands. The proportion of any RDU increased from 67.2% in 2008 to 69.5% in 2018 [adjusted odds ratio (aOR) = 1.25; 95% confidence interval (CI) = 1.03-1.51]. Any SDU increased from 53.8% in 2008 to 59.8% in 2013 (aOR = 1.23; 95% CI = 1.07-1.42) and remained stable afterwards. Specific SDU increased from 25.0% in 2008 to 36.1% in 2018 (aOR = 2.10; 95% CI = 1.71-2.58). The average number of drugs used increased for those reporting any RDU, any SDU and specific SDU (all P < 0.05. Among those engaging in sex, any SDU was associated with CAS (aOR = 1.36; 95% CI = 1.19-1.55), HIV (aOR = 5.86; 95% CI = 2.39-14.4) and STI (aOR = 2.31; 95% CI = 1.95-2.73). Specific SDU was associated with CAS (aOR = 1.58; 95% CI = 1.37-1.81), HIV (aOR = 6.30; 95% CI = 3.28-12.1) and STI (aOR = 2.15; 95% CI = 1.81-2.55). CONCLUSIONS: Among human immunodeficiency virus (HIV)-negative men who have sex with men in Amsterdam, recreational drug use, including sexualized drug use, increased between 2008 and 2018. Sexualized drug use was strongly associated with condomless anal sex, HIV and sexually transmitted infections.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".