Evidence map›Paper›PMID 42181016›Full record

ArticleAddictive behaviors reports2026

Identification of distinct stimulant use trajectories and patterns of overdose.

Leah C Shaw, Yu Li, Julia E Noguchi, Carolyn J Park, Katie B Biello, Scott E Hadland, Susan G Sherman, Alexandria Macmadu, Brandon D L Marshall

Abstract read
In one paragraph

Article in Addictive behaviors reports, 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.

Leah C ShawDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Yu LiDepartment of Behavioral & Social Sciences, Brown University School of Public Health, Providence, Rhode Island, USA.
Julia E NoguchiDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Carolyn J ParkThe Fenway Institute, Fenway Health, Boston, MA, USA.
Katie B BielloDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Scott E HadlandDivision of Adolescent and Young Adult Medicine, Massachusetts General Hospital for Children, Boston, MA, USA.
Susan G ShermanDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alexandria MacmaduDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.

Funding

The Rhode Island Young Adult Prescription and Illicit Drug Study (RAPIDS): Responding to Fentanyl and Associated HarmsR01DA047975 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2019 to 2023
$3.8M
NIDA NIH HHS R01 DA047975
6 · The paper itself

Abstract

Overdoses in the United States are increasingly driven by co-occurring stimulant and fentanyl use, yet limited research has examined individual-level stimulant use patterns over time. We assessed self-reported stimulant use among 505 people who use drugs enrolled in the Rhode Island Prescription and Illicit Drug Study (RAPIDS) from 2020 to 2024. Group-based trajectory modeling identified distinct patterns of past-month stimulant use over 12 months of follow-up. We examined associations between trajectories and sociodemographic characteristics, other substance use patterns, and mental health diagnoses. Four distinct stimulant use trajectories emerged: low (12%), low/moderate (52%), moderate/high (19%), and high (17%) use. The high-use group exhibited the highest proportion of people who were unhoused (82%,

Indexed as

Drug OverdoseHarm ReductionLongitudinal StudiesMeSHStimulantsTrajectoryUnited States

Identifiers

PMID42181016
PMCPMC13195527

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.