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Cross\u2010validated regularized logistic regressions for each use level by sex were used to perform feature selection and obtain prediction error statistics on independent observations. Predictors were probed for sex\u2010 and drug\u2010specificity using post\u2010hoc logistic regressions. Models reliably predicted use as indicated by satisfactory prediction error statistics, and contained psychosocial features common to both sexes. However, males and females exhibited distinct brain predictors that failed to predict use in the opposite sex or predict binge drinking in independent samples of same\u2010sex participants. Collapsed across sex, genetic variation on catecholamine and opioid receptors marginally predicted use. 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