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 ResearchConceptsPolysubstance 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
Laboratory and Real-World Experimental Approaches to Understanding Alcohol Relapse
Milivojevic V, Sinha R. Laboratory and Real-World Experimental Approaches to Understanding Alcohol Relapse. Current Topics In Behavioral Neurosciences 2023, 1-25. PMID: 37985542, DOI: 10.1007/7854_2023_456.Peer-Reviewed Original ResearchAlcohol use disorderUse disordersHuman laboratory proceduresHuman laboratory modelRelapse riskAlcohol cuesBiobehavioral markersPsychobiological mechanismsStress dysregulationChronic alcohol useAlcohol relapseAlcohol useEffective interventionsNovel interventionsStress biologyReal worldDisordersInterventionCuesSignificant implicationsSignificant treatment challengeHigher relapse riskAUDRisk factorsAdaptation
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
2013
Stress as a Common Risk Factor for Obesity and Addiction
Sinha R, Jastreboff AM. Stress as a Common Risk Factor for Obesity and Addiction. Biological Psychiatry 2013, 73: 827-835. PMID: 23541000, PMCID: PMC3658316, DOI: 10.1016/j.biopsych.2013.01.032.BooksConceptsNeurobiology of stressHP foodsIncentive salienceFood motivationIntegrative heuristic modelFood-related motivationDevelopment of addictionBiology of stressNeural mechanismsNeurobiological mechanismsAddiction relapsePalatable foodAddictive drugsAllostatic loadMotivationRisk factorsSalienceHigh levelsNeurobiologyHeuristic modelEnergy homeostasisWeight gainAddictionFuture directionsDopaminergic activity