Subjective Response to Opioids Predicts Risk for Opioid Use Disorder
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View abstract on PubMed
Summary
This summary is machine-generated.Predicting opioid use disorder (OUD) risk is crucial. Initial positive subjective experiences with prescription opioids, like feeling "Euphoric," strongly predict OUD development, enabling targeted prevention strategies.
Area Of Science
- Addiction Medicine
- Psychopharmacology
- Public Health
Background
- Prescription opioid exposure can lead to opioid use disorder (OUD).
- Scalable tools to predict OUD risk are currently lacking.
- Understanding predictors of OUD is essential for early intervention.
Purpose Of The Study
- To identify predictors of opioid use disorder (OUD) from initial subjective opioid effects.
- To develop a scalable tool for identifying individuals at high risk for OUD.
- To inform preventative interventions for vulnerable populations.
Main Methods
- Retrospective analysis of data from 117,508 research participants.
- Examined correlations between subjective opioid effects and self-reported OUD.
- Developed a two-step decision tree model to stratify risk.
Main Results
- Positive subjective effects, especially "Like Overall" and "Euphoric," were strong predictors of OUD (e.g., OR=36.2 for "Extremely" liking overall).
- A single question about "Like Overall" showed excellent predictive accuracy (ROC=0.87).
- A decision tree identified a high-risk group (77.4% OUD prevalence) and a low-risk group (1.7% OUD prevalence).
Conclusions
- Positive subjective responses to prescription opioids are significant predictors of future misuse and OUD.
- A simple, scalable tool can identify individuals at high risk for OUD.
- Findings support targeted preventative interventions for individuals reporting positive subjective effects.
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