Evidence map›Paper›PMID 40233864›Full record

ArticleJournal of substance use and addiction treatment2025

De-prescribing opioids among Medicaid patients with long-term opioid use.

Sarah A Friedman, Paul Snyder, Denis Patterson, Sarah Y T Hartzell, Michelle S Keller

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah A FriedmanDepartment of Health Behavior, Policy, and Administration Sciences, School of Public Health, University of Nevada, Reno, 1664 North Virginia Street, Reno, NV 89512, USA. Electronic address: sfriedman@unr.edu.
Paul SnyderSchool of Medicine, University of Nevada Reno, 1664 North Virginia Street, Reno, NV 89512, USA. Electronic address: rpsnyder@med.unr.edu.
Denis PattersonNevada Advanced Pain Specialists, 5578 Longley Lane, Reno, NV 89511, USA. Electronic address: patterson@nvadvancedpain.com.
Sarah Y T HartzellDepartment of Health Behavior, Policy, and Administration Sciences, School of Public Health, University of Nevada, Reno, 1664 North Virginia Street, Reno, NV 89512, USA. Electronic address: sthomashartzell@tmcc.edu.
Michelle S KellerLeonard Davis School of Gerontology, University of Southern California, Andrus Gerontology Center, 3715 McClintock Ave, Los Angeles, CA 90089, USA. Electronic address: mkeller5@usc.edu.

Funding

Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI MARCHAND, GWEN · 2013 to 2023
$39.6M
Incorporating guidelines into practice through policy: The effect of opioid prescribing policy on receipt of guideline concordant pain care for Medicaid patients in NevadaR15DA049195 · NIDA · UNIVERSITY OF NEVADA RENO · PI FRIEDMAN, SARAH A · 2020 to 2020
$368k
NIDA NIH HHS R15 DA049195NIGMS NIH HHS U54 GM104944
6 · The paper itself

Abstract

backgroundGuidelines encourage deprescribing opioids for long-term opioid patients, especially those using opioids and benzodiazepines, z-drugs, or muscle relaxants ("other respiratory depressants").

objectiveWere long-term opioid patients who were prescribed other respiratory depressants more likely to have deprescribing opioid trajectories?

designCross-sectional retrospective study using pharmacy and professional claims from 2015 to 2019. Adjusted logistic regression models were stratified on low (<50 morphine milligram equivalents; MME) and high (>50 MME) starting opioid doses. We reported predicted probabilities with 95 % confidence intervals. SUBJECTS: Nevada and Colorado Medicaid beneficiaries 18-64 years old without cancer diagnoses with long-term (120 days' supply/6 months) opioid use (117,400 person-windows). MEASURES: We used group-based trajectory modeling in Stata to identify characteristic 12-month dosing trajectories. Using the resulting trajectories, we assigned the outcome = 1 if the observation had a deprescribing trajectory (versus a constant trajectory). Binary exposure variables indicated that the patient had an opioid prescription overlapping with 1, 2, or 3 types of other respiratory depressants.

resultsAmong patients with a low starting opioid dose, the predicted probabilities of a deprescribing trajectory were lower when the patient had overlapping other respiratory depressants compared to when they did not (0 respiratory depressants: 0.33, [0.32, 0.33]; vs. 1 respiratory depressant: 0.22, [0.20, 0.23]; 2 respiratory depressants: 0.18 [0.16, 0.20]; 3 respiratory depressants:0.20 [0.13, 0.27]). Among patients with a high starting opioid dose, we observed similar results. CONCLUSIONS AND RELEVANCE: Targeted provider-level interventions to support deprescribing for long-term opioid patients using opioids and other respiratory depressants may provide particularly high-value care.

Indexed as

Analgesics, OpioidDeprescriptionsMedicaidPractice Patterns, Physicians'AdolescentAdultColoradoCross-Sectional StudiesFemaleHumansMaleMiddle AgedNevadaRetrospective StudiesUnited StatesYoung AdultAnalgesics, OpioidGroup-based trajectory modelingLong-term opioid useMedicaid

Identifiers

PMID40233864
PMCPMC12832118

What Socratic holds

Textmetadata
LicenceTDM
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.