2025
Potential roles for vitamin D in preventing and treating impulse control disorders, behavioral addictions, and substance use disorders: A scoping review
Jalilian-Khave L, Kitaneh R, Ysrayl B, Borelli A, Funaro M, Potenza M, Angarita G. Potential roles for vitamin D in preventing and treating impulse control disorders, behavioral addictions, and substance use disorders: A scoping review. Addiction Neuroscience 2025, 14: 100190. DOI: 10.1016/j.addicn.2024.100190.Peer-Reviewed Original ResearchImpulse control disordersSubstance use disordersControl disordersBehavioral addictionsTreating impulse control disordersVitamin DClinical studiesAddictive disordersSerotonergic circuitsExposure to vitamin DVitamin D deficiencyVitamin D levelsSymptom presenceDisordersPotential beneficial effectsJoanna Briggs InstituteD deficiencyPotential therapeutic mechanismAddictionD levelsWeb of ScienceTherapeutic mechanismQuality of studiesCochrane LibraryOvid MEDLINE
2024
Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. Journal Of Behavioral Addictions 2024, 13: 695-701. PMID: 39356557, PMCID: PMC11457034, DOI: 10.1556/2006.2024.00050.Peer-Reviewed Original ResearchConceptsAddictive behaviorsDisorders due to addictive behaviorsConnectome-based predictive modelingPrediction of cravingInvestigate neural mechanismsSubstance use disordersNeural mechanismsCravingSubstance useMethodological considerationsDisordersMethodological featuresBehaviorConceptualizationCommentaryStudyFindingsSubstancesGambling and Substance Use Disorders in U.S. Military Veterans: Prevalence, Clinical Characteristics, and Suicide Risk
Stefanovics E, Potenza M, Tsai J, Pietrzak R. Gambling and Substance Use Disorders in U.S. Military Veterans: Prevalence, Clinical Characteristics, and Suicide Risk. Journal Of Gambling Studies 2024, 40: 2119-2139. PMID: 39342537, DOI: 10.1007/s10899-024-10359-7.Peer-Reviewed Original ResearchSubstance use disordersU.S. military veteransMental health treatmentGambling groupSUD-onlySuicide riskHealth treatmentMilitary veteransNon-suicidal self-injuryLifetime substance use disorderNational Health and ResilienceRisk of substance use disordersSUD-only groupSelf-report measuresMental health difficultiesAdverse childhood experiencesMental health burdenPast-year gamblingSelf-injurySuicidality/self-harmVeterans StudyUse disorderNicotine dependenceTrauma variablesBehavioral correlatesAdvancing readiness for change in substance use for people with substance use disorders using the Kawa model based intervention program: A quasi-experimental study
Hsiao H, Wang T, Lee C, Lu Y, Huang Y, Chien Y, Potenza M, Lin C. Advancing readiness for change in substance use for people with substance use disorders using the Kawa model based intervention program: A quasi-experimental study. Hong Kong Journal Of Occupational Therapy 2024, 37: 91-101. PMID: 39539406, PMCID: PMC11556248, DOI: 10.1177/15691861241268143.Peer-Reviewed Original ResearchSubstance use disordersKawa modelDrug use behaviorsPsychoeducation courseUniversity of Rhode Island Change AssessmentStage-of-change scoresBackground Substance use disordersChanging drug use behaviourUse behaviorsQuasi-experimental studyChange scoresIntervention programsSubstance useCompulsory treatmentHealth problemsHigher scoresAdequate treatmentPsychoeducationPreliminary findingsParticipantsSouthern TaiwanDisordersTherapyTreatmentPeoplePavlovian-to-instrumental transfer and outcome-devaluation effects in individuals with gaming experience
Xu L, Zhang J, Geng X, Song K, Zeng P, Potenza M, Schad D, Zhang J. Pavlovian-to-instrumental transfer and outcome-devaluation effects in individuals with gaming experience. Computers In Human Behavior 2024, 155: 108188. DOI: 10.1016/j.chb.2024.108188.Peer-Reviewed Original ResearchRecreational game useInternet gaming disorderInternet gaming disorder groupHabitual controlInstrumental behaviorPavlovian-to-instrumental transferDevelopment of internet gaming disorderGaming-related cuesSubstance use disordersForty-five adultsTransfer effectsGaming behaviorDevaluation sensitivityPavlovian cuesDevaluation procedureMonetary cuesPIT taskAddiction severityAddiction developmentAddictive behaviorsLearned associationsGaming disorderNo-goOutcome valuesPIT effectSubstance use and spine density: a systematic review and meta-analysis of preclinical studies
Oliva H, Prudente T, Nunes E, Cosgrove K, Radhakrishnan R, Potenza M, Angarita G. Substance use and spine density: a systematic review and meta-analysis of preclinical studies. Molecular Psychiatry 2024, 29: 2873-2885. PMID: 38561468, DOI: 10.1038/s41380-024-02519-3.Peer-Reviewed Original ResearchSpine densityPrefrontal cortexSubstance useDrug self-administrationHippocampal spine densityEffects of cocaineSubstance use disordersConvergence of findingsSpine density changesSubstances of abuseMeta-analysis of preclinical studiesNucleus accumbensBehavioral sensitizationSelf-administrationBrain mechanismsPreclinical studiesBrain regionsMorphine effectsSynaptic density changesMeta-analysisAmphetamineSynaptic densityCocaineModerate-to-highCortexParameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity
Network A, Sangchooli A, Zare-Bidoky M, Jouzdani A, Schacht J, Bjork J, Claus E, Prisciandaro J, Wilson S, Wüstenberg T, Potvin S, Ahmadi P, Bach P, Baldacchino A, Beck A, Brady K, Brewer J, Childress A, Courtney K, Ebrahimi M, Filbey F, Garavan H, Ghahremani D, Goldstein R, Goudriaan A, Grodin E, Hanlon C, Haugg A, Heilig M, Heinz A, Holczer A, Van Holst R, Joseph J, Juliano A, Kaufman M, Kiefer F, Zonoozi A, Kuplicki R, Leyton M, London E, Mackey S, McClernon F, Mellick W, Morley K, Noori H, Oghabian M, Oliver J, Owens M, Paulus M, Perini I, Rafei P, Ray L, Sinha R, Smolka M, Soleimani G, Spanagel R, Steele V, Tapert S, Vollstädt-Klein S, Wetherill R, Witkiewitz K, Yuan K, Zhang X, Verdejo-Garcia A, Potenza M, Janes A, Kober H, Zilverstand A, Ekhtiari H. Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity. JAMA Psychiatry 2024, 81: 414-425. PMID: 38324323, PMCID: PMC11304510, DOI: 10.1001/jamapsychiatry.2023.5483.Peer-Reviewed Original ResearchTreatment developmentNeurobiology of drug addictionDrug cue reactivitySubstance use disordersBiomarkers of addictionCue reactivityAddictive disordersBiomarker developmentDrug addictionTreatment responseTreatment outcomesVisual cuesTask designCore aspectsAddictionClinical judgmentParticipant characteristicsDisordersOutcome predictorsClinical useMEDLINE databaseBiomarker qualificationSeveral biomarkersTranslational gapDatabase inceptionSex, Adverse Childhood Experiences, and Substance Use Disorders in US Military Veterans: Results From the National Health and Resilience in Veterans Study
Moore A, Stefanovics E, Jankovsky A, Potenza M, Pietrzak R. Sex, Adverse Childhood Experiences, and Substance Use Disorders in US Military Veterans: Results From the National Health and Resilience in Veterans Study. Journal Of Addiction Medicine 2024, 18: 432-436. PMID: 38598295, DOI: 10.1097/adm.0000000000001306.Peer-Reviewed Original ResearchCurrent alcohol use disorderAlcohol use disorderSubstance use disordersDrug use disordersAdverse childhood experiencesNational Health and ResilienceUse disorderVeterans StudyChildhood experiencesSexual abuseMentally ill family memberSex moderated associationsSelf-report measuresChildhood sexual abuseUS military veteransIncarcerated family memberChildhood traumaPhysical neglectIll family memberMilitary veteransFemale veteransMale veteransFamily membersTreatment effortsModerate association
2023
Psychometric properties of the Persian version of the cognitive emotion regulation questionnaire-short (CERQ-P-short): Reliability, validity, factor structure, treatment sensitivity, and measurement invariance
Hasani J, Emadi Chashmi S, Zakiniaeiz Y, Potenza M. Psychometric properties of the Persian version of the cognitive emotion regulation questionnaire-short (CERQ-P-short): Reliability, validity, factor structure, treatment sensitivity, and measurement invariance. Journal Of Psychiatric Research 2023, 170: 1-10. PMID: 38096672, PMCID: PMC11131131, DOI: 10.1016/j.jpsychires.2023.11.011.Peer-Reviewed Original ResearchObsessive-compulsive disorderMeasurement invarianceGeneralized anxietyEmotion regulationSubstance use disordersMaladaptive cognitive emotion regulation strategiesCognitive emotion regulation strategiesCognitive Emotion Regulation QuestionnaireDiscriminant validityFactor structureTreatment sensitivityCognitive emotion regulationEmotion regulation strategiesEmotion Regulation QuestionnairePsychometric propertiesDepression Anxiety Stress Scale-21Anxiety Stress Scale-21Good measurement invarianceStress Scale-21Test-retest coefficientsCERQScale-21Fit indicesAdult psychiatric patientsAlpha coefficientNeural mechanisms linked to treatment outcomes and recovery in substance-related and addictive disorders
Mestre-Bach G, Potenza M. Neural mechanisms linked to treatment outcomes and recovery in substance-related and addictive disorders. Dialogues In Clinical Neuroscience 2023, 25: 75-91. PMID: 37594217, PMCID: PMC10444012, DOI: 10.1080/19585969.2023.2242359.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNeural mechanismsAddictive disordersPotential neural mechanismsTreatment development effortsInternet gaming disorderBrain processesSubstance use disordersAdvanced analytic approachesGaming disorderImpulse controlTreatment developmentUse disordersPsychiatric conditionsExtant dataTreatment utilityAddictionDisordersAnalytic approachTreatment outcomesNarrative reviewIntervention administrationMedication challengePresent reviewMain modelsContextProblematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders
Chang C, Chen J, Huang S, Potenza M, Su J, Chang K, Pakpour A, Lin C. Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders. Addictive Behaviors 2023, 147: 107807. PMID: 37542974, DOI: 10.1016/j.addbeh.2023.107807.Peer-Reviewed Original ResearchConceptsProblematic smartphone useSubstance use disordersCognition-Execution (I-PACE) modelI-PACE modelSmartphone useProblematic useUse disordersPROCESS macro Model 4Person-AffectMediation modelCross-sectional designMediation analysisLongitudinal studyPeopleDisordersRelationshipPsychiatric centerFindingsParticipantsHayesModel 4ContextChanges in synaptic markers after administration of ketamine or psychedelics: a systematic scoping review
Zhornitsky S, Oliva H, Jayne L, Allsop A, Kaye A, Potenza M, Angarita G. Changes in synaptic markers after administration of ketamine or psychedelics: a systematic scoping review. Frontiers In Psychiatry 2023, 14: 1197890. PMID: 37435405, PMCID: PMC10331617, DOI: 10.3389/fpsyt.2023.1197890.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsAdministration of ketamineSynaptic markersSubstance use disordersPrefrontal cortexSingle doseBasal conditionsStress-related reductionPsilocybin/psilocinVerbal memory performanceWeb of ScienceKetamine treatmentSystematic scoping reviewLysergic acid diethylamideSynaptic densityClinical studiesSynaptophysin 1PRISMA guidelinesSynapsin 1Use disordersPlace preferenceAbuse liabilitySynaptic changesKetaminePSD-95Study designDistinct 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 respondersRelationship between Signals Regulating Energy Homeostasis and Neuropsychological and Clinical Features in Gambling Disorder: A Case-Control Study
Fernandez-Aranda F, Baenas I, Etxandi M, Mora-Maltas B, Granero R, Tovar S, Diéguez C, Potenza M, Jiménez-Murcia S. Relationship between Signals Regulating Energy Homeostasis and Neuropsychological and Clinical Features in Gambling Disorder: A Case-Control Study. European Psychiatry 2023, 66: s328-s328. PMCID: PMC10434526, DOI: 10.1192/j.eurpsy.2023.722.Peer-Reviewed Original ResearchGambling disorderSemi-structured clinical interviewHigher impulsivity levelsBad psychological stateDysfunctional personality profileDisclosure of interestHigher cognitive impairmentGd presenceCognitive flexibilityBody mass indexNeuropsychological factorsSubstance use disordersDecision-making strategiesHealthy controlsCognitive dimensionsImpulsivity levelsPsychological statePsychometric batteryConnecticut CouncilProblem gamblingVulnerability pathwaysAddictive disordersPersonality profilesCognitive impairmentClinical Interview
2022
Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis
Saffari M, Chang K, Chen J, Chang C, Chen I, Huang S, Liu C, Lin C, Potenza M. Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis. BMC Psychiatry 2022, 22: 815. PMID: 36544132, PMCID: PMC9768939, DOI: 10.1186/s12888-022-04468-z.Peer-Reviewed Original ResearchConceptsSubstance use disordersFeatures of depressionUse disordersDepression Anxiety Stress ScaleCross-lagged analysisCross-lagged associationsCross-lagged modelsAnxiety Stress ScaleGood fit indicesSubstance use concernsStructural equation modelingSelf-Stigma ScaleDepressive featuresMental health problemsLongitudinal relationshipStress ScaleEquation modelingSubstance useDirection of associationAlcohol useFit indicesUse concernsSocial relationshipsTemporal associationUnacceptable behaviorAre Signals Regulating Energy Homeostasis Related to Neuropsychological and Clinical Features of Gambling Disorder? A Case–Control Study
Etxandi M, Baenas I, Mora-Maltas B, Granero R, Fernández-Aranda F, Tovar S, Solé-Morata N, Lucas I, Casado S, Gómez-Peña M, Moragas L, del Pino-Gutiérrez A, Codina E, Valenciano-Mendoza E, Potenza M, Diéguez C, Jiménez-Murcia S. Are Signals Regulating Energy Homeostasis Related to Neuropsychological and Clinical Features of Gambling Disorder? A Case–Control Study. Nutrients 2022, 14: 5084. PMID: 36501114, PMCID: PMC9736671, DOI: 10.3390/nu14235084.Peer-Reviewed Original ResearchConceptsGambling disorderSemi-structured clinical interviewHigher impulsivity levelsBad psychological stateDysfunctional personality profileHigher cognitive impairmentGd presenceCognitive flexibilityNeuropsychological factorsSubstance use disordersDecision-making strategiesCognitive dimensionsImpulsivity levelsPsychological statePsychometric batteryVulnerability pathwaysHealthy controlsPersonality profilesBody mass indexCognitive impairmentClinical InterviewUse disordersGD groupPresent studyEnergy homeostasisPrevalence and Clinical Characteristics of Recreational and At-Risk/Problematic Gambling in a National Sample of U.S. Military Veterans
Stefanovics E, Potenza M, Tsai J, Pietrzak R. Prevalence and Clinical Characteristics of Recreational and At-Risk/Problematic Gambling in a National Sample of U.S. Military Veterans. Journal Of Gambling Studies 2022, 39: 1077-1097. PMID: 36378356, DOI: 10.1007/s10899-022-10165-z.Peer-Reviewed Original ResearchConceptsCurrent psychiatric diagnosisU.S. military veteransUse disordersPsychiatric diagnosisMilitary veteransU.S. veteransDrug use disordersMental health treatmentSubstance use disordersChi-square testClinical characteristicsTrauma burdenNational HealthAdjusted associationsRoutine screeningClinical measuresRecreational gamblingCurrent prevalenceMale veteransHealth treatmentHigher household incomeSuicidal ideationVeterans StudyLogistic regressionExtensive involvementGambling Disorder as an Addiction
Macdonald-Gagnon G, Potenza M. Gambling Disorder as an Addiction. 2022, 2885-2902. DOI: 10.1007/978-3-030-92392-1_157.ChaptersThe Reward Deficiency Syndrome and Links with Addictive and Related Behaviors
Kótyuk E, Potenza M, Blum K, Demetrovics Z. The Reward Deficiency Syndrome and Links with Addictive and Related Behaviors. 2022, 59-74. DOI: 10.1007/978-3-030-92392-1_3.Peer-Reviewed Original ResearchMechanistic Effects and Use of N-acetylcysteine in Substance Use Disorders
Greenberg N, Farhadi F, Kazer B, Potenza M, Angarita G. Mechanistic Effects and Use of N-acetylcysteine in Substance Use Disorders. Current Behavioral Neuroscience Reports 2022, 9: 124-143. DOI: 10.1007/s40473-022-00250-3.Peer-Reviewed Original ResearchSubstance use disordersN-acetylcysteineUse disordersEfficacy of NACTreatment of SUDsGlial glutamate transporter-1Glutamate transporter 1Drug-seeking behaviorCue-induced reinstatementNAC useAdjunctive useClinical studiesGlutamate homeostasisGlutamate signalingNeurobiological effectsClinical approachRelapse behaviorSubcortical regionsSynaptic plasticityFunctional connectivity networksPrefrontal cortexBehavioral interventionsTransporter 1Oxidative stressImpulsive behavior