Utilizing resources of neuropsychopharmacology to address the opioid overdose crisis
Bibliographic record
Abstract
BACKGROUND: North America is facing a severe public health crisis in the form of excessive numbers of deaths due to overdose from self-administration of opioids by individuals who are dependent on these substances. AIMS: There are many factors that must be addressed in order to gain control over this tragedy. Of particular relevance to neuropsychopharmacology is the fact that the problem is due in part to misuse of pharmaceuticals and especially the illicit production of the powerful synthetic opioids, fentanyl, and carfentanil. METHOD: The development and adoption of appropriate pharmacotherapies are of critical importance. We discuss specific options to deal effectively with both withdrawal from opioid dependence and substitution of clinically approved drugs in place of illicit substances. CONCLUSION: Hopefully, this crisis will reinvigorate both basic and clinical neuropsychopharmacological research leading to the develop new and more effective options for dealing with the many and varied elements of the current opioid crisis as described in the present commentary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".