Monitoring opioid analgesic misuse, abuse and dependence: What to the data from addictovigilance tell us about the situation in France?
Bibliographic record
Abstract
The opioid epidemic has emerged in the USA in the late 1990s and widespread to Canada, Australia, and the UK to a lesser extent in the more recent years. At the European level, several studies performed in different European countries have highlighted that prescription opioid use increased substantially over the last decade, and several proxies for misuse show a parallel increasing trend. The French addictovigilance experience on opioid analgesics is a good example of a specific dedicated monitoring, taking into account in a global and multisource perspective, patterns of utilization, population involved in problematic use, ways of acquisition and health complications. The added value of this data triangulation is illustrated by the recent data on tramadol and oxycodone. The addictovigilance monitoring is particularly relevant to identify early signals of potential problematic use and to assess the impact of campaigns for opioid analgesics rational use and regulatory changes.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".