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Chunk #66 — Directions for Future Research — Integrating implicit cognition and neurocognition in relapse models

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Relapse prevention for addictive behaviors.
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Historically, cognitive processes have been central to the RP model [8]. In the last several years increasing emphasis has been placed on "dual process" models of addiction, which hypothesize that distinct (but related) cognitive networks, each reflective of specific neural pathways, act to influence substance use behavior. According to these models, the relative balance between controlled (explicit) and automatic (implicit) cognitive networks is influential in guiding drug-related decision making [54,55]. Dual process accounts of addictive behaviors [56,57] are likely to be useful for generating hypotheses about dynamic relapse processes and explaining variance in relapse, including episodes of sudden divergence from abstinence to relapse. Implicit cognitive processes are also being examined as an intervention target, with some potentially promising results [62].