Tranquilizer misuse among active cocaine users: Predictors of initiation
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Tranquilizer use is associated with negative health outcomes among people who use drugs. This paper aims to estimate the incidence rate (initiation) and identify predictors of tranquilizer misuse (TM) among cocaine users. DESIGN AND METHODS: A prospective cohort study was conducted in Montreal, Canada. Interviewer-administered questionnaires were carried out at 3-month intervals. Initiation was defined as misusing a tranquilizer for the first time during follow-up. 'Lasting-initiation', defined as reporting TM at the next visit following first use, was also examined. Cox proportional hazard regression analyses were carried out to assess predictors of initiation to TM. RESULTS: Among the 245 participants who were eligible for the initiation analyses, 123 started TM during follow-up for an incidence rate of 40.49 per 100 person-years (95% confidence interval, CI: 33.80-48.15). Of the 123 initiates, 35.7% were still using at the interview following initiation for an incidence rate of 14.70 per 100 person-years (95% CI: 10.82-19.56). Multivariate models showed that independent predictors of initiation and 'lasting initiation' were identical as having had a criminal activity as the main source of income, having been recently in treatment for a substance use disorder (SUD) and reporting non-medical use of prescription opioids. DISCUSSION AND CONCLUSIONS: The incidence rate of TM initiation was high among a sample of cocaine users. Initiation was predicted by a problematic drug use pattern involving polydrug use, involvement in the street economy and having been in treatment for a SUD. These findings have implications for prevention and harm reduction strategies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".