Long-term patterns of treatment use for opioid use disorder (OUD): Findings from the 18-20-year Australian Treatment Outcome Study.

Background: Opioid-related deaths continue to increase to unprecedented rates in many regions of the world. While long-term stable treatment has been shown to reduce associated morbidity and mortality, discontinuation and numerous treatment episodes are common, limiting our understanding of the common course of treatment and associated characteristics. Therefore, using an 18-20-year follow-up of people with heroin dependence, we aimed to identify i) distinct trajectories of treatment use, ii) whether baseline characteristics predict treatment trajectory group membership, and ii) if group membership is associated with characteristics at 18-20-years post-baseline.

Australian treatment outcome study: protocol for the 18-20-year follow-up of a prospective longitudinal cohort examining the natural history of heroin dependence and associated mortality, psychiatric and physical health, and health service use.

Introduction: Opioid dependence is a global health priority, currently making the biggest contribution to drug-related deaths. The chronic, long-term persistence of heroin dependence over the life course requires investigation in prospective longitudinal studies, to better understand patterns and predictors of remission and relapse, as well as the impact of changes in substance use on a range of physical and mental health outcomes. Such knowledge is critical in order to identify modifiable risk factors that can be targeted for intervention.

The cognitive resource and foreknowledge dependence of auditory perceptual inference.

Auditory perceptual inference engages learning of complex statistical information about the environment. Inferences assist us to simplify perception highlighting what can be predicted on the basis of prior learning (through the formation of internal "prediction" models) and what might be new, potentially necessitating an investment of resources to remodel predictions. In the present study, we tested the hypothesis that sound sequences with multiple levels of predictability may rely on cognitive resources and be cognitively penetrable to a greater extent than was previously shown by studies presenting simpler sound sequences.