ArticlePain reports2025
Opioid prescription patterns and pain severity among patients with opioid use disorder and other substance use disorders: a mixed methods study.
Article in Pain reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Comparative Effectiveness of Kyphoplasty and Radiation with or Without Radiofrequency Ablation in Spinal Metastases from Lung Cancer.Healthcare (Basel, Switzerland) · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Pain management for patients with substance use disorders (SUDs) poses challenges, yet little is known about their pain severity perceptions. We conducted a mixed-methods study to understand numeric pain severity reporting among patients with SUD. We assessed how interactions between opioid prescribing and time, medications for opioid use disorder (MOUD), complementary medicine (CM), and outpatient SUD-related services (OS) predict differences in reported pain severity among patients with SUD. Methods: We analyzed electronic health records (EHR) data, from 2003 to 2023, among the Results: Overall, predicted mean pain scores (95% confidence interval) were highest for patients with OUD (4.52 [4.51, 4.53]), lower for other patients with SUD (3.80 [3.79, 3.81]), and lowest for controls (3.28 [3.27, 3.29]) across all opioid prescription doses and durations. Complementary medicine use was associated with lower pain scores for all patients prescribed opioids. Pain scores were also lower for patients with OUD and SUD prescribed opioids and using OS, and for patients with OUD treated with MOUD and prescribed higher dose opioids. Focus-groups revealed pain reporting is influenced by anticipated clinician disbelief, treatment changes, and stigma. Conclusion: These findings highlight the need to address pain within addiction treatment and further examine effective pain management interventions for this complex patient population.
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