Evidence map›Paper›PMID 42401026›Full record

ArticleAddictive behaviors2026

Daily patterns of opioid and stimulant use and associated risk-behavior outcomes: A cohort study.

Kenneth A Feder, Danielle German, Andrea N Ponce, Yuzhong Li, Jacqueline E Rudolph, Himani Byregowda, Gregory D Kirk, Shruti H Mehta, Becky L Genberg

Abstract read
In one paragraph

Article in Addictive behaviors, 2026. 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

9 authors.

Kenneth A FederDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: kfeder1@jh.edu.
Danielle GermanDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Andrea N PonceDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yuzhong LiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jacqueline E RudolphDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Himani ByregowdaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Becky L GenbergDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
The short and long-term dynamics of opioid/stimulant use: Mixed methods to informoverdose prevention and treatment related to polysubstance useR01DA057673 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DANIELLE GERMAN, Becky Lynn Genberg · 2022 to 2026
$3.6M
NIAID NIH HHS P30 AI094189NIDA NIH HHS R01 DA057673NIDA NIH HHS U01 DA036297
6 · The paper itself

Abstract

backgroundPeople who use opioid and stimulant drugs have high overdose rates. Little is known about day-to-day variation in patterns of use of these drugs and their association with other drug use behaviors.

methodsParticipants with past-two-week opioid or stimulant use completed daily cellphone surveys over a two-week period. We classified each day's opioid-stimulant combination into five mutually exclusive groups. We estimated associations of each group with prevalence of 7 same-day outcomes -alcohol, cigarette, THC, and tranquilizer use, injecting drugs, using xylazine, and using drugs alone - using random-intercept linear regression.

results87 participants (38% female, 54% ≥ 55 years old) completed 868 daily surveys. The day-level prevalences of each opioid-stimulant combination were: 21% with opioids and stimulants used at least once at the same time; 13% with both drugs used but never at the same time; 28% with opioid use only; 8% with stimulant use only; and 31% with neither drug used. Within-person day-to-day variation was common. As compared to days when participants used opioids and stimulants at the same time, when participants used opioids only, they were significantly less likely to use cigarettes (within-person prevalence difference [wPD] -0.09, 95% CI -0.17 to -0.01), tranquilizers (wPD -0.08, 95% CI -0.12 to -0.05), or injection drugs (wPD -0.22, 95% CI -0.28 to -0.15).

conclusionsWithin-person day-to-day changes in opioid-stimulant combinations were common. Use of opioids only was associated with lower prevalence of risky behaviors as compared to use with stimulants. Co-occurring stimulant use is a potentially modifiable target for harm reduction.

Indexed as

Analgesics, OpioidCentral Nervous System StimulantsOpioid-Related DisordersRisk-TakingSubstance-Related DisordersAdultAlcohol DrinkingCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceAnalgesics, OpioidCentral Nervous System Stimulants

Identifiers

PMID42401026
PMCPMC13449240

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.