Statistical Design We predict that symptom measures and EEG/ERP measures assessed at baseline will be associated with treatment response as measured by scores on the brief symptom inventory administered at training sessions, results of drug testing, and therapist ratings. Multilevel models will be used to estimate the associations between baseline measures (modeled as fixed effects) and the repeated measures of the outcome variables (repeated measures nested within individuals). To examine the effects of treatment condition (bias retraining versus sham training), a group-based multilevel model (similar to repeated measures ANOVA) will be used to test for any group differences on the EEG/ERP measures assessed at baseline and the follow-up neurophysiological assessment. Similar group-based multilevel models (similar to repeated measures ANOVA) will also be used to test for group differences on the substance use and psychiatric symptom measures assessed at baseline and the 6-month follow-up, as well as the measures of treatment progress (drug tests, symptom measures, therapist ratings) assessed between the baseline assessment and the second neurophysiological assessment at the end of treatment.