ArticleHealth (London, England : 1997)2015
Contingencies of the will: Uses of harm reduction and the disease model of addiction among health care practitioners.
Article in Health (London, England : 1997), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 30 citations in OpenAlex.
- 50 years of harm reduction in Europe: high time for transformation.Harm reduction journal · 2025Review
- "The Drug Use Unfortunately isn't all Bad": Chronic Disease Self-Management Complexity and Strategy Among Marginalized People Who Use Drugs.Qualitative health research · 2022Article
- Developing a Penal Abolitionist Application to Drug Treatment Drawing from Insider Perspectives and Lived Experiences.Humanity & society · 2022Article
- Psychedelic Harm Reduction and Integration: A Transtheoretical Model for Clinical Practice.Frontiers in psychology · 2021Article
- "One guy goes to jail, two people are ready to take his spot": Perspectives on drug-induced homicide laws among incarcerated individuals.The International journal on drug policy · 2019Article
- Governance of substance use as a by-product of policing in Norway: A historical account.Nordisk alkohol- & narkotikatidskrift : NAT · 2018Article
- Expanding conceptualizations of harm reduction: results from a qualitative community-based participatory research study with people who inject drugs.Harm reduction journal · 2017Article
- Free Will and the Brain Disease Model of Addiction: The Not So Seductive Allure of Neuroscience and Its Modest Impact on the Attribution of Free Will to People with an Addiction.Frontiers in psychology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The concept of addiction as a disease is becoming firmly established in medical knowledge and practice at the same time as the logics of the harm reduction approach are gaining broader acceptance. How health care practitioners understand and intervene upon drug use among their patients is complicated by these two models. While harm reduction can be understood as a form of governmentality wherein drug-taking individuals express their regulated autonomy through self-governance, the notion of addiction as a disease removes the option of self-governance through negating the will of the individual. Through analysis of qualitative interviews conducted with 13 health care practitioners who provide care for economically marginalized people who use drugs in New York City, it was found that the absence of will articulated in constructions of addiction as disease offered a gateway through which health care practitioners could bring in ideological commitments associated with harm reduction, such as the de-stigmatization of drug use. Despite differences in the attribution of agency, sewing together these two approaches allowed health care practitioners to work with drug-using patients in practical and compassionate ways. This resembles the strategic deployment of diverse subjectivities found in feminist, post-structural liberatory projects wherein differential subjectification proves tactical and productive. Although drug-using patients may enjoy the benefits of practical and compassionate health care, the conjoint facilitation and denouncement of their will occasioned by the use of both harm reduction and the disease model of addiction imply their management by both pastoral and disciplinary technologies of power.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.