The role of neurocognitive functioning, substance use variables and the DSM-5 severity scale in cocaine relapse: A prospective study.

[1]  H. Kober,et al.  fMRI Stroop and behavioral treatment for cocaine-dependence: Preliminary findings in methadone-maintained individuals. , 2019, Addictive behaviors.

[2]  Tiffany M Chaim-Avancini,et al.  Distinct cognitive performance and patterns of drug use among early and late onset cocaine users. , 2017, Addictive behaviors.

[3]  P. Kelly,et al.  Cognitive remediation improves executive functions, self-regulation and quality of life in residents of a substance use disorder therapeutic community. , 2017, Drug and alcohol dependence.

[4]  M. Fleury,et al.  Remission from substance use disorders: A systematic review and meta-analysis. , 2016, Drug and alcohol dependence.

[5]  G. Koob,et al.  Addictions Neuroclinical Assessment: A Neuroscience-Based Framework for Addictive Disorders , 2016, Biological Psychiatry.

[6]  S. Herpertz,et al.  The impact of cognitive impairment and impulsivity on relapse of alcohol‐dependent patients: implications for psychotherapeutic treatment , 2016, Addiction biology.

[7]  N. Volkow,et al.  Neurobiologic Advances from the Brain Disease Model of Addiction. , 2016, The New England journal of medicine.

[8]  J. Boscarino,et al.  Opioid-use disorder among patients on long-term opioid therapy: impact of final DSM-5 diagnostic criteria on prevalence and correlates , 2015, Substance abuse and rehabilitation.

[9]  A. Adan,et al.  Neuropsychological Performance in Polyconsumer Men Under Treatment. Influence of Age of Onset of Substance Use , 2015, Scientific Reports.

[10]  A. G. Andrade,et al.  The DSM-5 and the diagnosis of substance use disorders: Reflection about validity of the new criteria and possible ‘missing pieces’ in the puzzle , 2015, The Australian and New Zealand journal of psychiatry.

[11]  R. Wiers,et al.  Cocaine use severity and cerebellar gray matter are associated with reversal learning deficits in cocaine‐dependent individuals , 2015, Addiction biology.

[12]  F. Pechansky,et al.  Who seeks public treatment for substance abuse in Brazil? Results of a multicenter study involving four Brazilian state capitals. , 2014, Trends in psychiatry and psychotherapy.

[13]  Dick J Veltman,et al.  Recovery of neurocognitive functions following sustained abstinence after substance dependence and implications for treatment. , 2014, Clinical psychology review.

[14]  Kenneth J Sher,et al.  Truth or consequences in the diagnosis of substance use disorders. , 2014, Addiction.

[15]  M. Potenza,et al.  Neuroimaging and Biomarkers in Addiction Treatment , 2014, Current Psychiatry Reports.

[16]  J. Helzer,et al.  A test of the DSM-5 severity scale for alcohol use disorder. , 2014, Drug and alcohol dependence.

[17]  A. Bechara,et al.  Motivational interviewing combined with chess accelerates improvement in executive functions in cocaine dependent patients: a one-month prospective study. , 2014, Drug and alcohol dependence.

[18]  N. Petry,et al.  Substance abuse treatment patients with early onset cocaine use respond as well to contingency management interventions as those with later onset cocaine use. , 2014, Journal of substance abuse treatment.

[19]  H. Roeyers,et al.  Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. , 2014, Journal of substance abuse treatment.

[20]  Albert M. Kopak,et al.  The Elimination of Abuse and Dependence in DSM-5 Substance Use Disorders: What Does This Mean for Treatment? , 2014, Current Addiction Reports.

[21]  U. Preuss,et al.  Dimensionality and stages of severity of DSM-5 criteria in an international sample of alcohol-consuming individuals , 2014, Psychological Medicine.

[22]  B. Quednow,et al.  Cognitive Impairment in Cocaine Users is Drug-Induced but Partially Reversible: Evidence from a Longitudinal Study , 2014, Neuropsychopharmacology.

[23]  Hongyun Dong,et al.  Differences in regional cerebral blood flow response to a 5HT3 antagonist in early‐ and late‐onset cocaine‐dependent subjects , 2014, Addiction biology.

[24]  K. Bucholz,et al.  DSM-5 criteria for substance use disorders: recommendations and rationale. , 2013, The American journal of psychiatry.

[25]  Andrés Catena,et al.  Trait impulsivity and prefrontal gray matter reductions in cocaine dependent individuals. , 2012, Drug and alcohol dependence.

[26]  F. Fernández-Calderón,et al.  Self-regulation and treatment retention in cocaine dependent individuals: a longitudinal study. , 2012, Drug and alcohol dependence.

[27]  A. Heath,et al.  DSM-IV to DSM-5: the impact of proposed revisions on diagnosis of alcohol use disorders. , 2011, Addiction.

[28]  E. Baca-García,et al.  Executive dysfunction in chronic cocaine users: an exploratory study. , 2011, Drug and alcohol dependence.

[29]  Simone Arbour,et al.  Predictors and Outcome of Aftercare Participation of Alcohol and Drug Users Completing Residential Treatment , 2011, Substance use & misuse.

[30]  R. Laranjeira,et al.  Cannabis use before age 15 and subsequent executive functioning , 2011, British Journal of Psychiatry.

[31]  A. G. de Andrade,et al.  The frontal assessment battery (FAB) reveals neurocognitive dysfunction in substance-dependent individuals in distinct executive domains: Abstract reasoning, motor programming, and cognitive flexibility. , 2010, Addictive behaviors.

[32]  T. Turner,et al.  Measures of cognitive functioning as predictors of treatment outcome for cocaine dependence. , 2009, Journal of substance abuse treatment.

[33]  M. Banich,et al.  Medial Orbitofrontal Cortex Gray Matter Is Reduced in Abstinent Substance-Dependent Individuals , 2009, Biological Psychiatry.

[34]  M. Bicho,et al.  Neuropsychological function and platelet monoamine oxidase activity levels in type I alcoholic patients. , 2008, Alcohol and alcoholism.

[35]  Deborah A Yurgelun-Todd,et al.  Performance on the Stroop Predicts Treatment Compliance in Cocaine-Dependent Individuals , 2008, Neuropsychopharmacology.

[36]  W. Wechsberg,et al.  Reaching Women Substance Abusers in Diverse Settings: Stigma and Access to Treatment 30 Years Later , 2008, Substance use & misuse.

[37]  M. Pérez-García,et al.  Ecological assessment of executive functions in substance dependent individuals. , 2007, Drug and alcohol dependence.

[38]  Karen I Bolla,et al.  The differential relationship between cocaine use and marijuana use on decision-making performance over repeat testing with the Iowa Gambling Task. , 2007, Drug and alcohol dependence.

[39]  A. Alterman,et al.  The Addiction Severity Index at 25: origins, contributions and transitions. , 2006, The American journal on addictions.

[40]  A. Brooks,et al.  Cognitive deficits predict low treatment retention in cocaine dependent patients. , 2006, Drug and alcohol dependence.

[41]  N. Martin,et al.  Escalation of drug use in early-onset cannabis users vs co-twin controls. , 2003, JAMA.

[42]  George Fein,et al.  Neuropsychological performance of individuals dependent on crack-cocaine, or crack-cocaine and alcohol, at 6 weeks and 6 months of abstinence. , 2002, Drug and alcohol dependence.

[43]  I Litvan,et al.  The FAB: A frontal assessment battery at bedside , 2000, Neurology.

[44]  K I Bolla,et al.  Dose-related neurobehavioral effects of chronic cocaine use. , 1999, The Journal of neuropsychiatry and clinical neurosciences.

[45]  M. First,et al.  The Structured Clinical Interview for DSM-III-R (SCID). I: History, rationale, and description. , 1992, Archives of general psychiatry.

[46]  A. Silverstein Two- and Four-Subtest Short Forms of the Wechsler Adult Intelligence Scale-Revised. , 1982 .

[47]  G. Arbanas Diagnostic and Statistical Manual of Mental Disorders (DSM-5) , 2015 .

[48]  B. Grant,et al.  Age of onset of drug use and its association with DSM-IV drug abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey. , 1998, Journal of substance abuse.