Factors associated with willingness to participate in a heroin prescription program among injection drug users
Bibliographic record
Abstract
Randomized controlled trials of prescription heroin have shown success in reducing drug-related harm among chronic opiate injection drug users (IDUs) in several European nations. We sought to explore willingness to participate in a heroin trial among a well-characterized North American cohort of IDUs, and therefore performed analyses of factors associated with willingness to participate in a prescription heroin trial among IDUs enrolled in the Vancouver Injecting Drug Users Study (VIDUS). Of 410 current heroin injectors followed between May and November 2002, injecting heroin frequently (more than once daily) [odds ratio (OR) 1.33; 95 percent confidence interval (CI) 1.06 to 1.69] and being enrolled in methadone maintenance therapy (MMT; OR 1.33, 95 percent CI 1.06 to 1.69) were associated with willingness to participate in a trial. In subanalyses, statistical associations with willingness to participate in a trial among current MMT users were frequent injection of heroin (OR 2.12, CI 1.16 to 3.88) and speedballs (OR 2.57, CI 1.02 to 6.48), frequent crack cocaine use (OR 1.84, CI 1.11 to 3.06), lending of syringes (OR 3.22, CI 1.08 to 9.65), and requiring help to inject (OR 1.83, CI 1.01 to 3.33). Among IDUs, willingness to enroll in a heroin prescription program was associated with high-intensity heroin injection and high-risk behaviors and was particularly prevalent among individuals who have been unable to significantly reduce their injection drug use on MMT alone. These findings indicate that a clinical trial of prescribed heroin should be able to enroll an appropriate sample of drug users and properly assess the treatment potential of prescribed opiate pharmacotherapy.
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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".