Evidence map›Paper›PMID 40174465›Full record

ArticleThe American journal of emergency medicine2025

Trends in stimulant-related emergency department visits among adults in California, 2017-2021.

Benjamin H Han, Jesse J Brennan, Wayne E Kepner, Steven Chen, Sidney Lin, Joseph A Carley, Julia Larson, Edward M Castillo

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Benjamin H HanDivision of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego School of Medicine, United States; Jennifer Moreno Department of Veterans Affairs Medical Center, United States. Electronic address: b2han@health.ucsd.edu.
Jesse J BrennanDepartment of Emergency Medicine, University of California San Diego School of Medicine, United States.
Wayne E KepnerDivision of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego School of Medicine, United States.
Steven ChenUniversity of South Florida Morsani College of Medicine, United States.
Sidney LinDivision of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego School of Medicine, United States.
Joseph A CarleyJennifer Moreno Department of Veterans Affairs Medical Center, United States; Department of Psychiatry, University of California San Diego School of Medicine, United States.
Julia LarsonDivision of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego School of Medicine, United States.
Edward M CastilloDepartment of Emergency Medicine, University of California San Diego School of Medicine, United States.

Funding

UCSD Medical Student Summer Aging Research TrainingT35AG026757 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Benjamin Hyun Han, Ellen Eun-Ok Lee · 2005 to 2026
$2.2M
Chronic Disease and Health Outcomes of Older Adults with Opioid Use DisordersK23DA043651 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAN, BENJAMIN HYUN · 2018 to 2023
$1.2M
Measuring Social Isolation, Loneliness, and Intersectional Stigma among Older Adults with Opioid Use DisorderR21DA058404 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAN, BENJAMIN HYUN, INAGAKI, TRISTEN K. · 2023 to 2024
$445k
NIA NIH HHS T35 AG026757NIDA NIH HHS K23 DA043651NIDA NIH HHS R21 DA058404
6 · The paper itself

Abstract

backgroundStimulants are becoming increasingly prevalent among overdoses, yet little is understood about how stimulant use impacts emergency department (ED) utilization.

methodsUsing data from California's Department of Healthcare Access and Information, we conducted a five-year trend analysis of stimulant-related ED visits from acute care hospitals in California from 2017 to 2021. For each year, we determined the stimulant-related ED visit rate per 100,000 ED visits for adults aged ≥18 utilizing ICD-10 diagnosis codes. We estimated the percent changes in overall stimulant-related visit rates during the study period and by subgroup, including by demographic characteristics, Charlson comorbidity index score (CCIS), and cardiovascular (CV) diagnoses. We used chi-squared analyses to examine changes in trends over time.

resultsThe rate of stimulant-related ED visits increased from 2064.4 per 100,000 ED visits in 2017 to 2586.1 per 100,000 ED visits in 2021, a 25.3 % increase (P < 0.001). By race/ethnicity, people identified as Native American/Alaska Natives had the highest ED visit rate in 2021 (4713.5 per 100,000 ED visits) and the largest increase of 60.8 % (P < 0.001). The proportion of stimulant-related ED visits with CV disease diagnoses increased from 13.8 % in 2017 to 18.0 % in 2021, a relative increase of 30.8 % (P < 0.001).

conclusionsStimulant-related ED visits are increasing among adults in California, especially among non-white populations and those with higher comorbidity. This sharp rise highlights the critical need for targeted interventions and harm reduction strategies that consider the unique effects of stimulant use on ED rates and CV outcomes.

Indexed as

Central Nervous System StimulantsDrug OverdoseEmergency Service, HospitalSubstance-Related DisordersAdolescentAdultAgedCaliforniaCardiovascular DiseasesEmergency Room VisitsFemaleHumansMaleMiddle AgedYoung AdultCentral Nervous System StimulantsCardiovascular diseasesCentral nervous system stimulantsEmergency medical services

Identifiers

PMID40174465
PMCPMC13171209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.