2016
DOI: 10.1037/pas0000250
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Internalizing and externalizing personality subtypes predict differences in functioning and outcomes among veterans in residential substance use disorder treatment.

Abstract: There is a long history of using personality to subtype patients in treatment for substance use disorders (SUD). However, no one has validated a typology of SUD patients using a structural model of normal-range personality, particularly indicating whether subtypes differ on treatment processes and outcomes. We developed a personality-based typology among 196 military veterans enrolled in residential SUD treatment at a Veterans Affairs medical center. Patients were assessed at treatment entry, 1 month into trea… Show more

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Cited by 12 publications
(3 citation statements)
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“…Substance use severity combined four variables: how many days in the past 30 days the participant had (a) used alcohol and (b) drugs; (c) whether the participant met criteria for an alcohol use disorder (yes/no); and (d) the count of how many other substances the participant met criteria for disorders. Each outcome was computed by converting the variables it included to z scores and then taking the mean of the z scores (Blonigen et al, 2005(Blonigen et al, , 2016; for additional detail, see Wo odhead et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Substance use severity combined four variables: how many days in the past 30 days the participant had (a) used alcohol and (b) drugs; (c) whether the participant met criteria for an alcohol use disorder (yes/no); and (d) the count of how many other substances the participant met criteria for disorders. Each outcome was computed by converting the variables it included to z scores and then taking the mean of the z scores (Blonigen et al, 2005(Blonigen et al, , 2016; for additional detail, see Wo odhead et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…These included an estimated ~20 studies that were: (1) published before 2000 (~5 studies); (2) focused on sleep or neurofeedback (~7 studies); (3) used short-term and/or long-term abstainer samples (~5 studies); (4) used SUD samples that did not receive treatment or abstain (~3 studies). Further, we did not integrate the review findings with current knowledge regarding: (5) intoxication, binge-drinking, and chronic substance use effects on EEG/ERPs; (6) non-EEG treatment outcome predictors such as high impulsivity and low inhibitory control, concepts with an extensive behavioral and brain imaging literature (Vassileva and Conrod, 2019 ; Lees et al, 2021 ; Lutz et al, 2021 ); (7) fMRI-based functional, structural, and connectivity models of SUD treatment changes (Stewart et al, 2019b ; Parvaz et al, 2022 ); and (8) SUD subtypes (Schwartz et al, 2010 ; Blonigen et al, 2016 ; Müller et al, 2020 ) or trajectories (Haller et al, 2010 ; McCabe et al, 2019 ; Infante et al, 2020 ). Moreover, (9) only a dozen of the reviewed studies were from non-Western countries, reflecting a Western bias limiting the generalizability of findings; and (10) the time frames in brain stimulation studies were usually quite brief (i.e., pre- and post- EEG on the same day), and although informative for neuromodulation-mediated changes in brain function, have limited utility in predicting longer-term treatment-related changes or relapse.…”
Section: Resultsmentioning
confidence: 99%
“…The baseline values of the variables that comprised each composite are presented in Table 2. The composites were computed by converting the included variables to z-scores and then taking an average of the z-scores for each composite (Table 1; Blonigen et al 2005Blonigen et al , 2016.…”
Section: Analysis Planmentioning
confidence: 99%