Prediction of opioid use disorder among patients with chronic non-cancer pain receiving long-term opioid therapy

A stepwise approach that employs the Opioid Risk Tool for Opioid Use Disorder as a preliminary screener followed by a more in-depth assessment of clinical predictors among high-risk individuals may offer a feasible strategy to optimize efficiency and precision in risk stratification. Future work should refine and validate this framework in diverse population and care settings, as well as examine its integration into clinical workflow to enhance the identification of chronic non-cancer pain patients at risk for opioid use disorder.

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Publication Details

Journal
Pain Medicine
Published
2025-12-19
DOI
https://doi.org/10.1093/pm/pnaf161
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of opioid use disorder among patients with chronic non-cancer pain receiving long-term opioid therapy

Martin D. Cheatle, Christal N. Davis, Yoonjae Lee
Pain Medicine
Opioid Use Disorder Treatment
article

Prediction of opioid use disorder among patients with chronic non-cancer pain receiving long-term opioid therapy

Martin D. Cheatle, Christal N. Davis, Yoonjae Lee
article en

Abstract

A stepwise approach that employs the Opioid Risk Tool for Opioid Use Disorder as a preliminary screener followed by a more in-depth assessment of clinical predictors among high-risk individuals may offer a feasible strategy to optimize efficiency and precision in risk stratification. Future work should refine and validate this framework in diverse population and care settings, as well as examine its integration into clinical workflow to enhance the identification of chronic non-cancer pain patients at risk for opioid use disorder.

Pain MedicineVol. 27(2)
Philadelphia VA Medical Center (US), University of Pennsylvania (US), Universidad de León (ES)
Good health and well-being
Openalex Percentile: Top 27%
Opioid Use Disorder Treatment
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