Evidence map›Paper›PMID 42412429›Full record

ArticleJAMA network open2026

Short-Term and Long-Term Opioid Prescribing by Specialty, 2010 to 2024.

Michele J Buonora, Rebekah Heckmann, Joanna L Starrels, Mitra Ahadpour, Sara A Hevesi, Joseph S Ross, Molly M Jeffery

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

7 authors.

Michele J BuonoraDivision of General Internal Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York.
Rebekah HeckmannDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
Joanna L StarrelsDivision of General Internal Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York.
Mitra AhadpourCenter for Drug Evaluation and Research, Office of Translational Sciences, US Food and Drug Administration, Silver Spring, Maryland.
Sara A HevesiDepartment of Emergency Medicine, Mayo Clinic, Rochester, Minnesota.
Joseph S RossSection of General Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Molly M JefferyDepartment of Emergency Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Opioid prescribing has decreased in the US for more than a decade. However, less is known about how prescribing trends differ by prescriber specialty and separately for short-term and long-term opioid prescribing for which the indications, clinical decision-making, and potential for harm vary substantially. Objective: To characterize opioid analgesic prescribing trends in the US between January 1, 2010, and December 31, 2024, by prescriber specialty, analyzing short-term and long-term opioid use episodes separately. Design, Setting, and Participants: This cross-sectional study used administrative claims data for commercially insured and Medicare Advantage patients (aged ≥65 years and <65 years with long-term disability) with at least 90 days of enrollment in medical and prescription coverage. Statistical analysis was performed from May 2025 to September 2025. Main Outcomes and Measures: Prescribing volume, daily dose, and prescription duration. Results: The study identified 110 288 218 opioid fills by 14 959 612 patients during the 15-year study period. Among opioid fills, 59.4% were attributed to female patients; the median (IQR) age at opioid fill was 61 (50-71) years. From 2010 to 2024, decreases in opioid prescribing were greater for long-term than short-term opioid use episodes (eg, commercial cohort: 81.3% reduction [from 33.2 fills per 100-person years in 2010 to 6.2 in 2024] and 74.6% reduction [from 36.2 fills per 100-person years in 2010 to 9.2 in 2024]), respectively. The proportion of all opioid fills written by primary care clinicians decreased (eg, Medicare Advantage with disability cohort: from 52.2% to 47.2%), whereas those written by pain medicine specialists increased (eg, Medicare Advantage with disability cohort: from 17.1% to 25.7%). Distinct trends for short-term and long-term opioid use episodes were observed in prescription characteristics, such as daily dose and duration. Conclusions and Relevance: In this cross-sectional study of opioid prescribing trends in the US between 2010 and 2024, decreases in prescribing were greatest in long-term opioid use episodes, and prescribing was increasingly concentrated among pain medicine specialists. These findings suggest the need to balance reductions in opioid prescribing with provision of nonopioid pain treatments and raise concerns about access to care for patients taking opioids for chronic pain management.

Indexed as

Analgesics, OpioidDrug PrescriptionsPractice Patterns, Physicians'AgedCross-Sectional StudiesFemaleHumansMaleUnited StatesAnalgesics, Opioid

Identifiers

PMID42412429
PMCPMC13343244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.