2023
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
2020
The state of clinical outcome assessments for cannabis use disorder clinical trials: A review and research agenda
Loflin MJE, Kiluk BD, Huestis MA, Aklin WM, Budney AJ, Carroll KM, D'Souza DC, Dworkin RH, Gray KM, Hasin DS, Lee DC, Le Foll B, Levin FR, Lile JA, Mason BJ, McRae-Clark AL, Montoya I, Peters EN, Ramey T, Turk DC, Vandrey R, Weiss RD, Strain EC. The state of clinical outcome assessments for cannabis use disorder clinical trials: A review and research agenda. Drug And Alcohol Dependence 2020, 212: 107993. PMID: 32360455, PMCID: PMC7293929, DOI: 10.1016/j.drugalcdep.2020.107993.Peer-Reviewed Original ResearchConceptsClinical outcome assessmentCannabis use disorderClinical trialsOutcome assessmentForms of cannabisCannabis-related harmsCannabis reductionPrimary outcomeFunctional outcomeInterpretation of outcomesClinical endpointsNew pharmacotherapiesPsychomotor impairmentOutcome measuresSelf-report assessmentsDiagnostic criteriaUse disordersOptimal durationCannabis useStudy designBiologic assaysTrialsOptimal outcomesLack of consensusCannabis