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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.

Background: Pain can influence an individual's choice to pursue medical assistance in dying (MAiD) and may also influence how family members experience that decision. Family conflict or discordance surrounding a loved one's MAiD decision can cause unique challenges affecting grief and bereavement, including disenfranchised grief. There is limited knowledge of how individuals with complex MAiD bereavement experiences describe the role of physical and emotional pain in their bereavement stories., Aims: This article explores the role of physical and emotional pain in the stories of family members with complex MAiD bereavement and identifies opportunities to improve care for individuals and families experiencing disagreement around MAiD., Methods: We conducted qualitative interviews and utilized a narrative and ethics of care approach to analyze the data., Results: We conducted N = 12 narrative interviews with participants in three provinces: Ontario, British Columbia, and Alberta. Descriptions of physical pain were used to justify the morality, or immorality, of MAiD in the context of patient suffering. Emotional pain described experiences where participants' feelings about MAiD went unacknowledged by their family or friends, institutions, and sociopolitical environments. We conceptualize this unacknowledged emotional pain as disenfranchised grief and make recommendations to improve care for individuals experiencing complex MAiD bereavement., Conclusions: Experiences of physical and emotional pain leave a lasting impact on family members with complex MAiD bereavement. Health care professionals should continue to improve care for family members following MAiD, especially where there is disagreement or family conflict., Competing Interests: No potential conflict of interest was reported by the author(s)., (© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.)

Advances in neuroscience are changing how mental health issues such as addiction are understood and addressed as a brain disease. Although a brain disease model legitimizes addiction as a medical condition, it promotes neuro-essentialist thinking, categorical ideas of responsibility and free choice, and undermines the complexity involved in its emergence. We propose a 'biopsychosocial systems' model where psycho-social factors complement and interact with neurogenetics. A systems approach addresses the complexity of addiction and approaches free choice and moral responsibility within the biological, lived experience and socio-historical context of the individual. We examine heroin-assisted treatment as an applied case example within our framework. We conclude with a discussion of the model and its implications for drug policy, research, addiction health care systems and delivery, and treatment of substance use problems.