Is there a need for medically-prescribed heroin in the addiction treatment system?
Bibliographic record
Abstract
School of Population and Public Health Associate Professor Eugenia Oviedo-Joekes and guest speakers Lianne Gladue, Lee Gladue, and Vincent Harrop discussed the controversial harm reduction service of providing medically-prescribed heroin to users with severe substance use issues at SPPH Grand Rounds on March 17th 2017. Dr. Oviedo-Joekes spoke about the findings of two major trials where heroin was provided in a supervised setting as an alternative to drugs sold on the street, and the need for Canada to be brave when tackling the overdose crisis by offering safe alternatives to people who use drugs. The guest speakers shared their experiences with severe substance use issues and their participation in Crosstown Clinic, the only clinic in North America to offer medical-grade heroin (diacetylmorphine) and the legal analgesic hydromorphone within a supervised clinical setting to chronic substance use patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".