Featured Publications
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 ResearchConceptsConnectome-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 responders
2018
Accounting for the uncounted: Physical and affective distress in individuals dropping out of oral naltrexone treatment for opioid use disorder
Carroll KM, Nich C, Frankforter TL, Yip SW, Kiluk BD, DeVito EE, Sofuoglu M. Accounting for the uncounted: Physical and affective distress in individuals dropping out of oral naltrexone treatment for opioid use disorder. Drug And Alcohol Dependence 2018, 192: 264-270. PMID: 30300800, PMCID: PMC6203294, DOI: 10.1016/j.drugalcdep.2018.08.019.Peer-Reviewed Original ResearchConceptsOpioid use disorderOral naltrexoneUse disordersAffective symptomsVoucher-based contingency managementDysphoric symptomsAffective distressOral naltrexone treatmentMultiple baseline characteristicsBaseline characteristicsNaltrexone treatmentHigh riskNaltrexoneSomatic symptomsSymptomsContingency managementTreatmentHigh rateDistressSubstantial evidenceTrialsTheoretical benefitsDisordersAffective discomfortParticipants