ArticleJournal of addiction medicine
Comparison of Treatment Receipt and Hospitalization Among Patients With Stimulant Use Disorder and/or Opioid Use Disorder in the Veterans Health Administration.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Contingency Management for Stimulant Use Disorder and Association With Mortality: A Cohort Study.The American journal of psychiatry · 2025Article
- Hospital readmissions and emergency department encounters among patients who initiate medications for opioid use disorder during hospitalization: Comparison of patients with and without co-occurring methamphetamine use.Journal of substance use and addiction treatment · 2025Observational
- Assessment of harm reduction receipt and infectious diseases outcomes in United States Veterans with opioid use disorder and history of injection drug use.Harm reduction journal · 2024Article
- Formative evaluation of the implementation of digital therapeutics for opioids and other substance use disorders in primary care (DIGITS trial).Implementation research and practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesStimulant use is a growing problem, but little is known about service utilization among patients with stimulant use disorder (StUD). In the context of the overdose crisis, much research has focused on patients with opioid use disorder (OUD). It is unclear how the characteristics, treatment receipt, and hospitalization of patients with StUD differ from patients with OUD.
methodsElectronic health record data were extracted for national Veterans Health Administration patients with a visit from March 1, 2020, to February 28, 2021 with StUD and/or OUD (N = 132,273). We compared patients with StUD without OUD to those with (1) co-occurring StUD + OUD and (2) OUD without StUD. Patient characteristics, substance use disorder treatment, and hospitalizations in the year following patients' first study period visit were descriptively compared. Treatment and hospitalization were also compared in adjusted regression models.
resultsCompared with patients with OUD + StUD, those with StUD without OUD were less likely to receive outpatient (adjusted odds ratio [aOR] 0.49, 95% confidence interval [CI] 0.47-0.50) or any treatment (aOR 0.47, 95% CI 0.46-0.49). Compared with patients with OUD without StUD, those with StUD without OUD were less likely to receive outpatient (aOR 0.51, 95% CI 0.49-0.52) or any treatment (aOR 0.56, 95% CI 0.54-0.58) and more likely to receive residential treatment (aOR 2.18, 95% 2.05-2.30) and to be hospitalized (aOR 1.62, 95% 1.56-1.69).
conclusionsPatients with StUD may be less likely to receive treatment and more likely to be hospitalized than patients with OUD. Efforts focused on mitigating hospitalization and increasing treatment receipt for patients with StUD are needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.