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Risk environments and drug harms: A social science for harm reduction approach
Abstract
A 'risk environment' framework promotes an understanding of harm, and harm reduction, as a matter of 'contingent causation'. Harm is contingent upon social context, comprising interactions between individuals and environments. There is a momentum of interest in understanding how the relations between individuals and environments impact on the production and reduction of drug harms, and this is reflected by broader debates in the social epidemiology, political economy, and sociology of health. This essay maps some of these developments, and a number of challenges. These include: social epidemiological approaches seeking to capture the socially constructed and dynamic nature of individual-environment interactions; political-economic approaches giving sufficient attention to how risk is situated differentially in local contexts, and to the role of agency and experience; understanding how public health as well as harm reduction discourses act as sites of 'governmentality' in risk subjectivity; and focusing on the logics of everyday habits and practices as a means to understanding how structural risk environments are incorporated into experience. Overall, the challenge is to generate empirical and theoretical work which encompasses both 'determined' and 'productive' relations of risk across social structures and everyday practices. A risk environment approach brings together multiple resources and methods in social science, and helps frame a 'social science for harm reduction'.
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“Given that harm reduction is a central tenet of Housing First, it is critical to understand how the intervention and its risk environment contexts - the social, physical, economic, policy, and political spaces in which tenants live - shape substance use and related harms (Henwood et al., 2018; Rhodes, 2002, 2009).”
From Harm reduction outcomes and practices in Housing First: A mixed-methods systematic review (2021) · cites this paper as Rhodes, 2009
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Metadata
- Authors
- Rhodes, T.
- Affiliations
- University of London (GB)
- Corresponding author
- Rhodes, Tim
- ORCID
- Rhodes, Tim
- Venue
- International Journal of Drug Policy
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 20
- Issue
- 3
- Pages
- 193-201
- ISSN
- 0955-3959 (ISSN-L)
- OpenAlex
- W2110101976
- Cited by
- 948
- References
- 133
- Citations by year
- 2026: 49 · 2025: 69 · 2024: 61 · 2023: 57 · 2022: 86 · 2021: 84 · 2020: 82 · 2019: 62 · 2018: 46 · 2017: 60 · 2016: 54 · 2015: 50 · 2014: 50 · 2013: 48 · 2012: 33
- FWCI
- 20.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Drug Policy (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Health and Care Research
- Narodowe Centrum Badań i Rozwoju
- Topics
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Crime, Deviance, and Social Control
- Keywords
- risk environment, drug-related harm, harm reduction, individual-environment interaction, social epidemiology, political economy of health, governmentality, everyday practices, structural risk, public health discourse
- MeSH terms
- Humans, Politics, Risk Factors, Social Environment, Social Problems, Socioeconomic Factors, Substance-Related Disorders, Harm Reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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