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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".