Evidence map›Paper›PMID 39892523›Full record

ArticleAmerican journal of preventive medicine2025

Use of Medications for Opioid Use Disorder in Older Adults.

Yong-Fang Kuo, Jordan Westra, Edythe P Harvey, Mukaila A Raji

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Yong-Fang KuoDepartment of Biostatistics and Data Science, School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas; Office of Biostatistics, University of Texas Medical Branch, Galveston, Texas; Department of Internal Medicine-Geriatric Medicine Division, John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas; Sealy Center on Aging, University of Texas Medical Branch, Galveston, Texas. Electronic address: yokuo@utmb.edu.
Jordan WestraDepartment of Biostatistics and Data Science, School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas; Office of Biostatistics, University of Texas Medical Branch, Galveston, Texas.
Edythe P HarveyDepartment of Psychiatry and Behavioral Science, University of Texas Medical Branch, Galveston, Texas.
Mukaila A RajiDepartment of Internal Medicine-Geriatric Medicine Division, John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas; Sealy Center on Aging, University of Texas Medical Branch, Galveston, Texas.

Funding

Pattern, Variation and Outcomes of Opioid Prescription in Older AdultsR01DA039192 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG, RAJI, MUKAILA A · 2016 to 2023
$3.1M
NIDA NIH HHS R01 DA039192
6 · The paper itself

Abstract

introductionThe American population diagnosed with opioid use disorder is growing, particularly those aged ≥65 years. Less than 30% of opioid use disorder patients receive medication for opioid use disorder, and even fewer older adults.

methodsUsing 20% national Medicare data, beneficiaries aged over 65 years diagnosed with opioid use disorder in 2017-2022 were selected to assess the trend and types of medication for opioid use disorder use, including methadone, buprenorphine, or naltrexone. In the 2022 cohort (n=69,380), a multivariable logistic regression model was constructed to examine the factors associated with use of medication for opioid use disorder. Analyses were performed in 2024.

resultsUse of medications for opioid use disorder among older adults increased from 4.8% in 2017 to 7.5% in 2019 and 15.0% in 2022. The larger increase coincided with implementation of a new Medicare payment policy covering methadone for opioid use disorder. About 79% of opioid use disorder patients had chronic pain and arthritis; 50% had anemia, depression, or anxiety. Males, Black patients, Hispanic patients, older patients, and rural residents had lower odds of receiving medication for opioid use disorder. Enrollees with dual coverage from Medicaid had higher odds of receiving medication for opioid use disorder. Patients with alcohol or tobacco use disorders, anxiety, depression, hypothyroidism, or liver disease were more likely to receive medication for opioid use disorder; conversely, those with non-Alzheimer's dementia, cancer, chronic kidney disease, stroke, chronic pain, or arthritis were less likely to receive medication for opioid use disorder.

conclusionsThe rate of medication for opioid use disorder use was low in older adults. The disparity in medication for opioid use disorder use underscores the need for improved access to comprehensive opioid treatment programs and increased medication for opioid use disorder coverage. Additional studies of treatment patterns are also warranted.

Indexed as

Analgesics, OpioidOpiate Substitution TreatmentOpioid-Related DisordersAgedAged, 80 and overBuprenorphineFemaleHumansMaleMedicaidMedicareMethadoneNaltrexoneUnited StatesAnalgesics, OpioidBuprenorphineMethadoneNaltrexone

Identifiers

PMID39892523
PMCPMC12033077

What OpenQuestion holds

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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 OpenQuestion graph.