Recent life problems and non‐fatal overdose among heroin users entering treatment
Bibliographic record
Abstract
AIMS: To investigate the role of recent life problems in non-fatal overdose among heroin users entering various drug treatment settings. DESIGN: Cross-sectional data from a longitudinal study investigating drug treatment effectiveness. SETTING: Five prison drug treatment services, three residential rehabilitation units, three residential detoxification units and 21 community drug treatment services located in rural, urban and inner-city areas of Scotland. PARTICIPANTS: Of a total of 793 primary heroin users commencing drug treatment during 2001-02, 337 (42.5%) were prison drug service clients; 91 (11.5%) were residential rehabilitation clients; 97 (12.2%) were residential detoxification clients; and 268 (33.8%) were community drug treatment clients. MEASUREMENTS: Univariate and stepwise multivariate logistic regression analyses examined associations between overdosing in the 90 days prior to treatment entry and basic demographic characteristics, recent drug use and recent life problems. FINDINGS: Ninety-one study participants (11.5%) reported at least one overdose and 19 (2.4%) reported more than one overdose in the 90 days prior to treatment entry. A chi2 test revealed no significant difference in rates of recent overdosing between the four treatment settings (P = 0.650). Recent drug use and recent life problems-but not demographic characteristics-were associated independently with recent overdosing. However, recent life problems were not associated independently with recent overdosing among clients entering prison, clients entering residential rehabilitation or with multiple recent overdosing. CONCLUSIONS: Associations between recent life problems and recent overdose were evident, but varied by treatment setting. Treatment providers should identify and address heroin users' life problems as part of a broad strategy of overdose prevention.
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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) | 0.000 | 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".