The review by Müller and colleagues (2015) of published case studies of neurosurgical treatment of anorexia nervosa (AN) is generally sound. However, we believe that their, somewhat surprising, pro...

Lewis’ neurodevelopmental model provides a plausible alternative to the brain disease model of addiction that is a dominant perspective in the USA. We disagree with Lewis’ claim that the BDMA is unchallenged within the addiction field but we agree that it provides unduly pessimistic prospects of recovery. We question the strength of evidence for the BDMA provided by animal models and human neuroimaging studies. We endorse Lewis’ framing of addiction as a developmental process underpinned by reversible forms of neuroplasticity. His (...) view is consistent with epidemiological evidence of addicted individuals ‘maturing out’ and recovering from addiction. We do however hold some reservations about Lewis’ model. We do not think that his analysis of the neurobiological evidence is clearly different from that of the BDMA or that his neurodevelopmental model provides a more rigorous interpretation of the evidence than the BDMA. We believe that our understanding of the neurobiology of drug use is too immature to warrant the major role given to it in the BDMA. Our social research finds very mixed support for the BDMA among addicted people and health professionals in Australia. Lewis’ account of addiction requires similar empirical evaluation of its real-world implications. (shrink)

This article uses Marc Lewis’ work as a springboard to discuss the socio-political context of the brain disease model of addiction (BDMA). The claim that promotion of the BDMA is the only way the general public can be persuaded to withhold blame and punishment from addicts is critically examined. After a discussion of public understandings of the disease concept of addiction, it is pointed out that it is possible to develop a scientific account of addiction which is neither a disease (...) nor a moral model but which the public could understand. Evidence is reviewed to suggest that public acceptance of the disease concept is largely lip-service and that the claim the BDMA removes stigma among the public and professionals is unsupported by evidence. Further, there is good evidence that biogenetic explanations of mental/behavioural disorders in general have been counterproductive in the attempt to ally stigma. A model of addiction as a disorder of choice may attract special problems in public-facing communications and risks being misunderstood. However, ways of presenting this model to the public are suggested that may avoid such risks. Lastly, the claim that the BDMA is the only way of ensuring access to treatment and of maintaining research funding for addiction is disputed and a way in which these benefits can be retained under a disorder-of-choice model proposed. The article concludes by enthusiastically endorsing Lewis’ call for a third stage in the governing image of addiction. (shrink)

Impaired control over drug use is a defining characteristic of addiction in the major diagnostic systems. However there is significant debate about the extent of this impairment. This qualitative study examines the extent to which leading Australian addiction neuroscientists and clinicians believe that addicted individuals have control over their drug use and are responsible for their behaviour. One hour semi-structured interviews were conducted during 2009 and 2010 with 31 Australian addiction neuroscientists and clinicians (10 females and 21 males; 16 with (...) clinical experience and 15 with no clinical experience). Although many addiction neuroscientists and clinicians described uncontrolled or compulsive drug use as characteristic of addiction, most were ambivalent about whether or not addicted people could be said to have no control of their drug use. Most believed that addicted individuals have fluctuating levels of impaired control over their drug use but they nonetheless believed that addicted persons were responsible for their behaviour, including criminal behaviour engaged in to fund their drug use. Addiction was not seen as exculpating criminal behaviour but as a mitigating factor. (shrink)

Developments in the field of neuroscience, according to its proponents, offer the prospect of an enhanced understanding and treatment of addicted persons. Consequently, its advocates consider that improving public understanding of addiction neuroscience is a desirable aim. Those critical of neuroscientific approaches, however, charge that it is a totalising, reductive perspective–one that ignores other known causes in favour of neurobiological explanations. Sociologist Nikolas Rose has argued that neuroscience, and its associated technologies, are coming to dominate cultural models to the extent (...) that 'we' increasingly understand ourselves as 'neurochemical selves'. Drawing on 55 qualitative interviews conducted with members of the Australian public residing in the Greater Brisbane area, we challenge both the 'expectational discourses' of neuroscientists and the criticisms of its detractors. Members of the public accepted multiple perspectives on the causes of addiction, including some elements of neurobiological explanations. Their discussions of addiction drew upon a broad range of philosophical, sociological, anthropological, psychological and neurobiological vocabularies, suggesting that they synthesised newer technical understandings, such as that offered by neuroscience, with older ones. Holding conceptual models that acknowledge the complexity of addiction aetiology into which new information is incorporated suggests that the impact of neuroscientific discourse in directing the public's beliefs about addiction is likely to be more limited than proponents or opponents of neuroscience expect. (shrink)

Background Our objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals’ judgments of stigma, empathy, and compassion. Methods We randomized healthcare professionals (N = 310) to one vignette about a person whose clinician seeks to predict schizophrenia or an AUD, using a ML app, brain imaging, or a psychosocial assessment. Participants used scales to measure their judgments of stigma, (...) empathy, and compassion. Results Participants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists. Conclusions The use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others. (shrink)