Non-Fatal Overdose Among a Cohort of Active Injection Drug Users Recruited from a Supervised Injection Facility
Bibliographic record
Abstract
Non-fatal overdose among injection drug users (IDU) is a source of significant morbidity. Since it has been suggested that supervised injecting facilities (SIF) may increase risk for overdose, we sought to evaluate patterns of non-fatal overdose among a cohort of SIF users. We examined recent non-fatal overdose experiences among participants enrolled in a prospective study of IDU recruited from within North America's first medically supervised safer injecting facility. Correlates of recent non-fatal overdoses were identified using generalized estimating equations (GEE). There were 1,090 individuals recruited during the study period of which 317 (29.08%) were female. At baseline, 638 (58.53%) reported a history of non-fatal overdose and 97 (8.90%) reported at least one non-fatal overdose in the last six months. This proportion remained approximately constant throughout the study period. In the multivariate GEE analysis, factors associated with recent non-fatal overdose included: sex-trade involvement (Adjusted Odds Ratio [AOR]: 1.45 [95% Confidence Interval [CI] 1.07-1.99], p = 0.02) and public drug use (AOR: 1.50 [95% CI 1.09-2.06]; p = 0.01). Using the SIF for >or= 75% of injections was not associated with recent non-fatal overdose in univariate (Odds Ratio: 1.05, p = 0.73) or multivariate analyses (AOR: 1.01, p = 0.96). The proportion of individuals reporting recent non-fatal overdose did not change over the study period. Our findings indicate that a sub-population of IDU might benefit from overdose prevention interventions. Our findings refute the suggestion that the SIF may increase the likelihood of overdose.
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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 | 0.001 |
| 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".