Article info
Political philosophy & medical ethics
Paper
Scientific and conceptual flaws of coercive treatment models in addiction
- Correspondence to Susanne Uusitalo, Department of Behavioural Sciences and Philosophy, University of Turku, Turku 20014, Finland; susuus{at}utu.fi, susanne.uusitalo{at}gmail.com
Citation
Scientific and conceptual flaws of coercive treatment models in addiction
Publication history
- Received May 21, 2015
- Revised August 19, 2015
- Accepted September 21, 2015
- First published October 13, 2015.
Online issue publication
December 15, 2015
Article Versions
- Previous version (13 October 2015).
- You are viewing the most recent version of this article.
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Other content recommended for you
- Parkinson disease and impulse control disorders: a review of clinical features, pathophysiology and management
- Neuropsychiatry of the basal ganglia
- Subjective assessments of research domain criteria constructs in addiction and compulsive disorders: a scoping review protocol
- Extrastriatal dopaminergic changes in Parkinson’s disease patients with impulse control disorders
- Research progress and debates on gaming disorder
- Expert consensus on the prevention and treatment of substance use and addictive behaviour-related disorders during the COVID-19 pandemic
- Case for raising the minimum legal age of tobacco sale to 25
- Intellectual disability complicated by sexual addiction: an uncommon presentation of a common condition
- Psychostimulant effect of levodopa: reversing sensitisation is possible
- Clinical-genetic model predicts incident impulse control disorders in Parkinson's disease