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期刊名:Substance use & addiction journal

缩写:SUBST USE ADDICT J

ISSN:2976-7342

e-ISSN:2976-7350

IF/分区:2.4/Q2

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共收录本刊相关文章索引362条
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Sean Blaeser,Michelle D Colvard,Monica Barrett et al. Sean Blaeser et al.
Background: Treatment for alcohol and opioid withdrawal when managed independently is well-established; however, specific guidance on their concurrent management is lacking. This review evaluated the relationship between ...
Filipa M A A Teixeira,Mihai Picior,Oluwatobi Ajewole Filipa M A A Teixeira
Background: The relationship between menopausal transition, alcohol use and women's health remains poorly understood despite its relevance in psychiatry and women's health. Alcohol and menopausal symptoms can overlap, whi...
Jessica Williams,Xiao Li,Carla J Berg et al. Jessica Williams et al.
Background: People with (vs without) disabilities may be at greater risk for substance use, but limited research has explored the use of various substances among people with disabilities. This study examined differences i...
Megan F Dickson,Krystina Monticello,Erika Pike et al. Megan F Dickson et al.
Background: Previous research indicates that opioid overdose risk is significantly higher during community reentry following incarceration, particularly for women. However, there is a limited understanding of factors spec...
Laia Miquel,Daniel Folch-Sanchez,Pilar Lusilla-Palacios et al. Laia Miquel et al.
Background: Cocaine use disorder (CUD) presents high relapse rates and limited treatment options. Repetitive transcranial magnetic stimulation (rTMS) has shown promise, but evidence in clinical practice is scarce. ...
Chandan Saha,Alan Davalos Guzman,Yutong Li et al. Chandan Saha et al.
Machine learning (ML) models have been commonly utilized to predict various opioid-related outcomes and risks, including post-operative opioid use, opioid use disorder (OUD), misuse, or overdose. Despite their promising performance, the cli...
M H Clark,Barbara Andraka-Christou,Jill Viglione et al. M H Clark et al.
Background: Medications for opioid use disorder (MOUD) are underused by problem-solving court (PSC) clients, despite their treatment efficacy. Prior qualitative work suggests PSC staff make case-by-case decisions about wh...
Dushka Crane,Lareina La Flair,Shadia Jallaq et al. Dushka Crane et al.
Medicaid is the largest insurer for patients with opioid use disorder (OUD) and finances a disproportionate share of medication treatment for OUD (MOUD). Within Medicaid, initiation and continuity of MOUD are associated with improved outcom...
Andrew J Barnes,Caroline Hale,Zoe D&#x;Angelo et al. Andrew J Barnes et al.
Public payers in the US cover more than half of individuals who receive treatment for opioid use disorder (OUD). Despite this, patient-reported measures that reflect treatment engagement and quality of life are largely missing from OUD qual...
Maria Rudorf,Trevor Baker,Curtis Walker et al. Maria Rudorf et al.
Background: Reducing opioid overdose death rates across the United States demands novel community partnerships and information sharing to implement and sustain evidence-based opioid overdose prevention strategies. During ...