Distinct neural networks predict cocaine versus cannabis treatment outcomes
Lichenstein S, Kohler R, Ye F, Potenza M, Kiluk B, Yip S. Distinct neural networks predict cocaine versus cannabis treatment outcomes. Molecular Psychiatry 2023, 28: 3365-3372. PMID: 37308679, PMCID: PMC10713861, DOI: 10.1038/s41380-023-02120-0.Peer-Reviewed Original ResearchMeSH KeywordsCannabisCocaineCocaine-Related DisordersCognitive Behavioral TherapyHumansMaleOpioid-Related DisordersSubstance-Related DisordersTreatment OutcomeConceptsConnectome-based predictive modelingCognitive behavior therapyCognitive behavioral therapySubstance use disordersCannabis abstinenceNeural mechanismsBehavior therapyDistinct neural networksComputer-based trainingCannabis use disorderFMRI scanningNeural predictorsStudy 1Study 2Treatment outcomesContingency managementPrior workComparison subjectsNetwork strengthUse disordersNovel treatment targetsAbstinenceIndependent samplesCocaine abstinenceTreatment respondersKey implementation factors in telemedicine-delivered medications for opioid use disorder: a scoping review informed by normalisation process theory
Teck J, Zlatkute G, Perez A, Dritschel H, Ghosh A, Potenza M, Ambekar A, Ekhtiari H, Stein D, Khazaal Y, Arunogiri S, Torrens M, Ferri M, Galea-Singer S, Baldacchino A. Key implementation factors in telemedicine-delivered medications for opioid use disorder: a scoping review informed by normalisation process theory. The Lancet Psychiatry 2023, 10: 50-64. PMID: 36526346, DOI: 10.1016/s2215-0366(22)00374-1.Peer-Reviewed Original ResearchConceptsNormalisation Process TheoryOpioid use disorderUse disordersCurrent evidence baseHealth care interventionsEnglish-language databasesClinical contactComplex health care interventionsHealth systemEvidence baseMedicationsCOVID-19 pandemicPeer-reviewed articlesNPT constructsKey implementation factorsPotential wideningDisordersCognitive participationStandard practiceThematic analysisReflexive monitoringReviewImplementation factorsTelehealth innovationMOUD