Treatment of prescription opioid disorders in Canada: looking at the ‘other epidemic’?
Bibliographic record
Abstract
The magnitude and consequences of prescription opioid (PO) misuse and harms (including rising demand for PO disorder treatment) in Canada have been well-documented. Despite a limited evidence-base for PO dependence treatment, opioid maintenance therapy (OMT) - mostly by means of methadone maintenance treatment (MMT) - has become the de facto first-line treatment for PO-disorders. For example in the most populous province of Ontario, some 50,000 patients - large proportions of them young adults - are enrolled in MMT, resulting in a MMT-rate that is 3-4 times higher than that of the United States. MMT in Ontario has widely proliferated towards a quasi-treatment industry within a system context of the public fee-payer offering generous incentives for community-based MMT providers. Contrary to the proliferation of MMT, there has been no commensurate increase in availability of alternative (e.g., detox, tapering, behavioral), and less intrusive and/or costly, treatments which may provide therapeutic benefits at least for sub-sets of PO-dependent patients. Given the extensive PO-dependence burden combined with its distinct socio-demographic and clinical profile (e.g., involving many young people, less intensive or risky opioid use), an evidence-based 'stepped-care' model for PO dependence treatment ought to be developed in Canada where MMT constitutes one, but likely a last resort or option, for treatment. Other, less intrusive treatment options as well as the best mix of treatment options should be systematically investigated and implemented. This case study has relevance and implications for evidence-based treatment also for the increasing number of other jurisdictions where PO misuse and disorders have been rising.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".