Treatment retention and reductions in blood alcohol concentration (BAC) during the first 90 days of a telehealth program for alcohol use disorder.

Kevin A Hallgren¹, Gantt P Galloway², Katie Witkiewitz³, Paul Linde², Bob Nix², John E Mendelson²

¹Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA USA.

²Ria Health, San Francisco, CA.

³Department of Psychology and Center on Alcohol, Substance Use, And Addictions, University of New Mexico, Albuquerque, NM, USA.

PubMed DOI

Abstract

Background: Alcohol use disorder (AUD) treatments, including medications, are increasingly offered via telehealth.Objective: This study characterizes 90-day treatment retention and changes in objectively measured blood alcohol concentration (BAC) in a large cohort receiving AUD telehealth.Methods: Patients received AUD treatment through Ria, a virtual (telehealth) program offering AUD treatment th…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Mentioned Companies

Ria Health
affiliation

NIH Funding

Grant #9922188
Developing a tool to assess, provide feedback, and facilitate discussion of mechanisms of change in frontline addiction treatment
UNIVERSITY OF WASHINGTON
$174,042 (FY2020)

Other Funding

NIAAA NIH HHS(R01 AA022328)
United States
NIAAA NIH HHS(K01 AA024796)
United States

MeSH Terms

Male0Humans0Female0Alcoholism*Blood Alcohol Content0Alcohol Drinking0Telemedicine*

Keywords

Alcohol use disorder treatmentblood alcohol concentrationbreathalyzermHealthtelehealth

Article Info

PMID: 36881813
DOI: 10.1080/00952990.2023.2175322

How to Cite

Hallgren KA et al. Treatment retention and reductions in blood alcohol concentration (BAC) during the first 90 days of a telehealth program for alcohol use disorder. Am J Drug Alcohol Abuse2023;49(2):249-259. doi:10.1080/00952990.2023.2175322

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.