Evidence map›Paper›PMID 40040818›Full record

ArticleLancet regional health. Americas2025

The recent trend of twin epidemic in the United States: a 10-year longitudinal cohort study of co-prescriptions of opioids and stimulants.

Seungyeon Lee, Wenyu Song, David W Bates, Richard D Urman, Ping Zhang

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Seungyeon LeeDepartment of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA.
Wenyu SongDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
David W BatesDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Richard D UrmanDepartment of Anesthesiology, College of Medicine, The Ohio State University, Columbus, OH, USA.
Ping ZhangDepartment of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA.

Funding

A Statistical Network Pharmacology Approach for Early Detection of Adverse Drug EventsR01GM141279 · NIGMS · OHIO STATE UNIVERSITY · PI ZHANG, PENGYUE, ZHANG, PING · 2021 to 2023
$937k
Linking Genetic and Clinical Data to Optimize Surgical Opioid Analgesic Prescribing and Predict Risks of Opioid-Related Adverse Drug EventsK01DA059572 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI Wenyu Song · 2024 to 2026
$581k
NIDA NIH HHS K01 DA059572NIGMS NIH HHS R01 GM141279
6 · The paper itself

Abstract

Background: In recent years, the use of central nervous system stimulant medications has increased among the population already using opioids, referred to as a "twin epidemic." There is an increasing concern about its harmful outcomes in large populations. However, very few studies examined the co-prescription pattern of these two drug categories over a long period, and there is currently no clear restriction on stimulant prescriptions among patients under opioid treatment in the United States. The objectives of our study were to identify opioid prescription dosage time-dependent patterns and patient subgroups representing distinct trajectories on a national level in the recent 10 years, and to further investigate longitudinal associations between stimulant and opioid prescriptions and the impact of stimulant prescriptions on opioid dosage patterns. Methods: We obtained patient records from MarketScan, one of the largest clinical databases of health insurance in the United States. 10 years (2012-2021) of prescription records and related patient profiles, who received at least two independent opioid prescriptions, were utilized for developing a group-based opioid dose trajectory model. Findings: From an initial cohort including 22 million patients with 96 million opioid prescriptions, we developed a study cohort of 2,895,960 patients with a mean age of 43.9 years (standard deviation [SD] 13.0), of whom 1,244,077 (43%) were male. Significant geographical variations in opioid prescription frequency and dosage among four U.S. regions were observed. The trajectory model identified five distinct opioid dose groups. Stimulant prescription before the initial opioid prescription was positively associated with escalating opioid doses (odds ratio [OR]: 7.58; 95% confidence intervals [CI] 6.14-9.35, opioid dose increasing group compared to the decreasing group). Stimulant co-prescriptions were also associated with increasing opioid doses (OR: 1.73; 95% CI 1.40-2.14) and were identified in patients with a higher prevalence of opioid use disorder. Interpretation: During the recent 10 years, stimulant prescription is positively associated with escalating opioid prescription activities in U.S. healthcare systems, suggesting co-prescriptions of these two types of drugs are an important contributing factor for a national-level twin epidemic. Healthcare leaders and policymakers should pay more attention to this issue and its potential harms. Funding: National Institute of General Medical Sciences, National Institute on Drug Abuse, and National Science Foundation.

Indexed as

Co-prescription patternDrug overdoseOpioid crisisPatient safetyStimulant prescriptionTrajectory analysisTwin epidemic

Identifiers

PMID40040818
PMCPMC11876894

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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.