Ontology highlight
ABSTRACT: Aims
To examine evidence for subtypes of opioid craving trajectories during medication for opioid use disorder (MOUD), and to (a) test whether these subtypes differed on MOUD-related outcomes, and (b) determine whether nonresponders could be identified before treatment initiation.Design, setting, and participants
Outpatients (n = 211) being treated with buprenorphine or methadone for up to 16 weeks. Growth mixture modeling was used to identify unobserved craving-trajectory subtypes. Support Vector Machines (SVM) were trained to predict subtype membership from pretreatment data.Measurements
Self-reported opioid craving (Ecological Momentary Assessment - EMA - three random moments per day). Participant-initiated EMA reports of drug use or higher-than-usual stress. Add
SUBMITTER: Burgess-Hull AJ
PROVIDER: S-EPMC8978588 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature