Too much or never enough: a response to Treatment of opioid disorders in Canada: looking at the ‘other epidemic’
Bibliographic record
Abstract
Prescription opioid (PO) misuse is a major health concern across North America, and it is the primary cause of preventable death for the 18-35 year old demographic. Medication assisted therapy including methadone and buprenorphine, is the standard of care for patients with opioid-dependence. Moreover, both of these medications are recognized as essential medicines by World Health Organization. In Ontario Canada, the availability of medication assisted therapy has expanded substantially, with almost a ten-fold increase number of patients accessing methadone in Ontario in the past decade. In their manuscript, Fischer et. al. (2016), present a view that expansion of opioid maintenance therapy (OMT) has outpaced true patient need and alternate strategies should be considered as first-line treatments. Here, we present a countering perspective-that medication assisted therapy, along with other harm reduction strategies, should be widely available to all opioid-dependent people as first-line treatments.
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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) | 0.001 | 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".