2024
Substance use patterns, quantities, and associated risk factors in women with polysubstance misuse
Fogelman N, Tate M, Wemm S, Sullivan L, Hart R, Vacey E, Fox H, Sinha R. Substance use patterns, quantities, and associated risk factors in women with polysubstance misuse. Addiction Biology 2024, 29: 10.1111/adb.13390. PMID: 38619491, PMCID: PMC11017971, DOI: 10.1111/adb.13390.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidAnxietyCross-Sectional StudiesFemaleHumansPainRisk FactorsSubstance-Related DisordersConceptsPolysubstance useDepressive symptomsSubstance use patternsDrug cravingRisk factorsPatterns of polysubstance useSingle substance useAssociated with polysubstance usePlacebo-controlled studyHigher cravingGuanfacine treatmentCross-sectional observational studyPolysubstance use patternsCraving managementLife eventsCravingPolysubstance misuseSubstance useOpioid amountsPain ratingsStress/traumaObservational studyAnxietyPainPolysubstance
2023
Regular cannabis use is associated with history of childhood and lifetime trauma in a non-clinical community sample
Bassir Nia A, Weleff J, Fogelman N, Nourbakhsh S, Sinha R. Regular cannabis use is associated with history of childhood and lifetime trauma in a non-clinical community sample. Journal Of Psychiatric Research 2023, 159: 159-164. PMID: 36736285, PMCID: PMC10024801, DOI: 10.1016/j.jpsychires.2023.01.036.Peer-Reviewed Original ResearchMeSH KeywordsCannabisCocaineCross-Sectional StudiesFemaleHumansSubstance-Related DisordersSurveys and QuestionnairesConceptsMajor life eventsChildhood traumaLife eventsChildhood Trauma QuestionnaireLifetime traumaCannabis useNon-clinical community sampleChronic stressNeurobiology of stressRegular cannabis useGender differencesRegular useSelf-report questionnairesRecent life eventsPotential gender differencesCross-sectional studyUrine drug testingLife traumaLogistic regression analysisAdversity indexCommunity sampleCannabis usersTrauma QuestionnaireHigh rateSubstance use
2022
Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents
Ottino‐González J, Garavan H, Albaugh M, Cao Z, Cupertino R, Schwab N, Spechler P, Allen N, Artiges E, Banaschewski T, Bokde A, Burke Quinlan E, Brühl R, Orr C, Cousijn J, Desrivières S, Flor H, Foxe J, Fröhner J, Goudriaan A, Gowland P, Grigis A, Heinz A, Hester R, Hutchison K, Li C, London E, Lorenzetti V, Luijten M, Nees F, Martín‐Santos R, Martinot J, Millenet S, Momenan R, Paillère Martinot M, Papadopoulos Orfanos D, Paulus M, Poustka L, Schmaal L, Schumann G, Sinha R, Smolka MN, Solowij N, Stein DJ, Stein EA, Uhlmann A, van Holst RJ, Veltman DJ, Walter H, Whelan R, Wiers RW, Yücel M, Zhang S, Jahanshad N, Thompson PM, Conrod P, Mackey S. Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents. Addiction 2022, 117: 1312-1325. PMID: 34907616, DOI: 10.1111/add.15772.Peer-Reviewed Original ResearchConceptsAlcohol dependenceHeavy drinking adolescentsStructural covariance networksAge 19Non-dependent controlsPre-existing risk factorsAge 14Cohort of adolescentsCross-sectional analysisRisk factorsAlcohol exposureEnhancing Neuroimaging GeneticsCortical thicknessHazardous drinkersEarly markerMeta-AnalysisNetwork segregationCross-sectional sampleIMAGEN studySubstantial exposureAdultsDrinking adolescentsCovariance networksBrain organizationAdolescents