Background: Alcohol-dependent individuals tend to selectively approach alcohol cues in the environment, demonstrating an alcohol approach bias. Because approach bias modification (ApBM) training can reduce the approach bias and decrease relapse rates in alcohol-dependent patients when added to abstinence-focused treatment, it has become a part of regular treatment. Moreover, in selective inhibition (SI) training, responses to one category of stimuli (i.e., alcohol stimuli) are selectively inhibited in an adapted Go/No-Go task. SI-Training has been found to effectively devalue the inhibited category and to reduce consumption of alcohol among social drinkers. This study investigated whether SI-Training can further improve the effects of treatment as usual that includes ApBM, and if so, whether the effect is mediated by a devaluation of the inhibited alcohol stimuli.
Methods: Abstinent alcohol-dependent inpatients (N=434) were randomly assigned to receive 6 sessions of either active (n = 214, 32% female) or sham (n = 220, 38% female) SI-Training, in addition to standard treatment that includes active ApBM. Ratings were used to assess changes in the evaluation of alcohol stimuli after the training. Relapse rates were assessed 3 and 12 months after treatment discharge.
Results: Alcohol stimuli were rated negatively before and after the training, and the training did not influence these ratings. Evaluation of nonalcoholic drinks became more positive after active SI-Training. Both ApBM and SI-Training showed the expected training effects on reaction times. Contrary to expectations, SI-Training conditions did not yield different abstinence rates 3 or 12 months after treatment.
Conclusions: We found no evidence supporting the hypothesis that SI-Training amplifies the relapse-preventing effect of ApBM. Moreover, alcohol stimuli were rated negatively before and after treatment and were not influenced by SI-Training.
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School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore.
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