The effectiveness of changes to drug policy, regulation and legislation for reducing harms associated with opioids and supporting their medicinal use in Australia, Canada and the UK: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Governments and health agencies in Australia, Canada and the United Kingdom (UK) have implemented changes to drug policy, regulation and/or legislation for reducing increasing rates of dependency, overdose and other harms associated with prescription and over-the-counter opioid drugs, and supporting their medicinal use. However, there has been no systematic evaluation of empirical evidence on the effectiveness of the drug policy changes. A systematic review of studies was conducted to assess the evidence. Studies included peer-reviewed and grey literature. The findings of studies were synthesised to identify common features and outcomes of changes to drug policy, including reductions in overdose, death and other indicators of effectiveness. There were 21 studies that met review criteria, and were of changes that generally aimed to: increase access to treatment for issues with opioid drugs; or, restrict access to opioids and other drugs. The evidence base was limited, and overall showed no major impacts in reducing harms and supporting medicinal use. However, studies of changes focused on increasing access to naloxone suggested the most promising evidence of effectiveness. More research and evaluation is required. With the risk of increased harms associated with opioid drug use in Australian, Canadian and United Kingdom settings, policymakers and other stakeholders need to prioritize measures that support: more research and evaluation; national campaigns publicising awareness of risks associated with opioid drug use and their appropriate medicinal use; and investment in health care services offering more appropriate clinical management of pain and opioid drugs.
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.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 it