Evidence map›Paper›PMID 39711040›Full record

ArticleJournal of the American Geriatrics Society2025

Individual and prescription level factors associated with overdose in opioid naïve older people.

Kacey Little, Sanae El Ibrahimi, Jiah Yoo, Diana Flores, Michelle Hendricks, Christi Hildebran, Grant Ritter, Dagan Wright, Bryan Loy, Scott G Weiner

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 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

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kacey LittleDivision of Research and Evaluation, Comagine Health, Portland, Oregon, USA.
Sanae El IbrahimiDivision of Research and Evaluation, Comagine Health, Portland, Oregon, USA.
Jiah YooDivision of Research and Evaluation, Comagine Health, Portland, Oregon, USA.
Diana FloresDivision of Research and Evaluation, Comagine Health, Portland, Oregon, USA.
Michelle HendricksGeneral Medical Sciences Division, Washington University School of Medicine, St. Louis, Missouri, USA.
Christi HildebranDivision of Research and Evaluation, Comagine Health, Portland, Oregon, USA.
Grant RitterSchneider Institutes for Health Policy, Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts, USA.
Dagan WrightInjury and Violence Prevention Program-Public Health Division, Oregon Health Authority, Oregon, Portland, USA.
Bryan LoyInjury and Violence Prevention Program-Public Health Division, Oregon Health Authority, Oregon, Portland, USA.
Scott G WeinerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-4672-5184

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
NIDA NIH HHS R01 DA044167NIDA NIH HHS R01DA044167
6 · The paper itself

Abstract

backgroundOpioid naïve older adults may be at risk of overdose after receiving an initial opioid prescription.

methodsThis population-based cohort study from a linked dataset of patients in Oregon, linking all payer claims data to other administrative datasets, aimed to assess the prescription- and patient-level characteristics associated with increased odds of opioid overdose after an initial opioid prescription. Included patients were ≥65 years old and received an index pain-formulation opioid prescription between 2016 and 2019. The primary outcome was an index nonfatal or fatal overdose within 6- or 12-months following index prescription. Patient characteristics included age, sex, insurance plan, number of medical comorbidities, and presence of psychiatric comorbidities. Prescription characteristics included opioid type, duration of action, and days' supply. A logistic regression model was used to determine the association with opioid overdose.

resultsThere were 223,799 individuals included for analysis (58.6% 65-74 years old, 53.9% female). There were 183 fatal or nonfatal opioid overdoses in 6 months and 232 in 12 months following the index prescription. Adults aged ≥85 years were less likely to experience an overdose versus those 65-74 years (6-month adjusted odds ratio (aOR) 0.35, [95% confidence interval, 0.20-0.59]; 12-month aOR 0.38 [0.24-0.60]). Multiple factors were associated with increased odds, including dually enrolled in Medicare/Medicaid compared to commercial insurance (6-month aOR 5.99, [1.93-19.65]; 12-month aOR 3.53, [1.58-7.90]), three or more comorbidities compared to none: (6-month aOR 3.69, [1.91-8.13]; 12-month aOR 4.24, [2.32-7.74]), history of depression: (6-month aOR 1.94, [1.34-2.81]; 12-month aOR 2.20, [1.60-3.04]), received long-acting opioids (6-month aOR 5.76, [1.56-21.22]; 12-month aOR 4.0, [1.39-11.55]) compared to short-acting.

conclusionsFor older adults, there is an association between opioid overdose risk and factors including patient insurance type, patient comorbidities, and receiving a long-acting opioid prescription. Providers should be aware of the risks of opioids in this population.

Indexed as

Analgesics, OpioidDrug OverdoseDrug PrescriptionsOpiate OverdoseAgedAged, 80 and overAge FactorsCohort StudiesComorbidityFemaleHumansMaleOregonRisk FactorsAnalgesics, Opioidolder adultsopioid naïveopioid overdoseopioids

Identifiers

PMID39711040
PMCPMC11970990

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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.