ArticlePain medicine (Malden, Mass.)2024
Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020.
Article in Pain medicine (Malden, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient- and Clinician-Related Factors Associated With the Reduction in Opioid Use Among Adults With Chronic Non-Cancer Pain: A Systematic Review.Clinical pharmacology and therapeutics · 2026Pooled it
- Article
- Metabolic Modulation for Cancer Pain Relief: A Retrospective Pilot Study.Journal of pain research · 2026Article
- Opioid reduction in patients with chronic non-cancer pain undergoing treatment with medicinal cannabis.Pain management · 2025Article
- Prescription of Strong Opioids in Chronic Non-Cancer Pain in the Province of Valladolid (Spain).Life (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories.
designA retrospective cohort study.
settingAustralian primary care. SUBJECTS: Patients prescribed opioid analgesics between 2015 and 2020.
methodsGroup-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories.
resultsA total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses.
conclusionsThose prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories.
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