Opioid use, regulation, and harms in Brazil: a comprehensive narrative overview of available data and indicators
Bibliographic record
Abstract
BACKGROUND: Global opioid consumption increased multifold post-2000, disproportionately in high-income countries, with severe mortality/morbidity consequences. Latin America features comparatively low opioid availability; Brazil, the region's most populous country, makes an interesting case study concerning opioid use/harms. In this comprehensive overview, we aimed to identify and summarize medical and non-medical data and indicators of opioid availability and use, regulation/control, and harm outcomes in Brazil since 2000. METHODS: We searched multiple scientific databases to identify relevant publications and conducted additional 'grey' literature searches to identify other pertinent information. RESULTS: Despite some essential indicators, opioid-related data are limited for Brazil. Data indicate that population-level availability of prescription opioids represents only a small fraction of use in comparison to high-income countries. However, within Latin America, Brazil ranks mid-level for opioid consumption, indicating relatively moderate consumption compared to neighboring jurisdictions. Brazil has implemented restrictive regulations to opioid prescribing and is considered 'highly restricted' for opioid access. Codeine remains the major opioid analgesic utilized, but stronger opioids such as oxycodone are becoming more common. Professional knowledge regarding medical opioid use and effects appears limited. National surveys indicate increases in non-medical use of prescription opioids, albeit lower than observed in North America, while illicit opioids (e.g., heroin) are highly uncommon. CONCLUSIONS: Overall population-level opioid availability and corresponding levels of opioid-related harms in Brazil remain substantially lower than rates reported for North America. However, the available surveillance and analytical data on opioid use, policy/practice, and harms in Brazil are limited and insufficient. Since existing and acute (e.g., pain-related) needs for improved opioid utilization and practice appear to be substantiated, improved indicators for and understanding of opioid use, practice, and harms in Brazil are required.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".