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Enregistrement W1980864737 · doi:10.1111/j.1360-0443.2012.04072.x

Commentary on Des Jarlais <i>et al</i>. (2012): Are ethnic disparities in drug policy‐related harms relevant to the addiction medicine community?

2012· letter· en· W1980864737 sur OpenAlexafffundabout
Evan Wood, Thomas Kerr

Notice bibliographique

RevueAddiction · 2012
Typeletter
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensAIDS VancouverSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesCanada Research ChairsMichael Smith Health Research BC
Mots-clésEthnic groupMedicineDemographyContext (archaeology)AddictionPublic healthHuman immunodeficiency virus (HIV)Incidence (geometry)Needle sharingHeroinDrugPsychiatryFamily medicineCondomPolitical science

Résumé

récupéré en direct d'OpenAlex

Globally, the HIV epidemic has affected several distinct risk groups and populations disproportionately, highlighting well-described vulnerabilities to infection among men who have sex with men, sex workers and people who inject drugs. Studies have also identified that, within these risk groups, some ethnic minorities have elevated rates of HIV infection. In this issue of Addiction, Des Jarlais and colleagues reviewed studies to assess for racial/ethnic minority disparities in HIV infection among individuals who inject drugs 1. Their meta-analysis demonstrated a greater than twofold elevation in HIV prevalence among ethnic minority groups. These findings lead inevitably to the question: why? In a study of intravenous drug users in Vancouver, we found that Aboriginal drug users had a higher baseline HIV prevalence upon recruitment into a prospective cohort study (16 versus 25%, P < 0.001) and that, among those participants who were HIV-negative at baseline, the cumulative HIV incidence at 48 months was higher among Aboriginal individuals (18.5 versus 9.5%; P < 0.001) 2. Beyond the very concerning public health implications of this study, what was interesting about this analysis was that the elevated HIV incidence among Aboriginal individuals persisted after adjustment for traditional HIV risk behaviours, such as syringe sharing and unsafe sex. Subsequent research has implied that elevated rates of incarceration as well as lower access to HIV and addiction treatment probably explain these findings 3. In this context, the role that drug policies can play in contributing to the HIV epidemic and other harms among illicit drug users has recently been the subject of increasing international attention, including a recent report of the blue ribbon Global Commission on Drug Policy entitled The War on Drugs and HIV/AIDS: How the Criminalization of Drug Use Fuels the Global Pandemic 4. This report describes the range of ways in which the criminalization of drug-using individuals contributes to the spread of HIV infection. These mechanisms include behavioural influences created by the fear of arrest, restrictions on clean needle distribution and opioid substitution therapy, barriers to antiretroviral therapy and addiction treatment, as well as the negative influences of incarceration (Table 1). The negative influences of incarceration were documented in the classic Scottish prison HIV outbreak investigation, which used phylogenetic techniques to demonstrate how HIV was spreading through syringe sharing among inmates 5. Prisons also have a negative effect on HIV ‘treatment as prevention’ strategies, which seek to use antiretroviral therapy to lower plasma HIV–response effect of incarceration events on antiretroviral non-adherence 6, and a Baltimore study of HIV-infected patients found recently that even brief periods of incarceration were associated with a twofold risk of syringe sharing and a greater than sevenfold risk of HIV virological failure 7. As indicated in the Des Jarlais paper 1, ethnic disparities in HIV infection are particularly large in the United States, where the nation's long-standing ‘war on drugs’ has had a decidedly negative impact on minority communities. For instance, in the United States, African Americans are many times more likely to be incarcerated for drug-related offences than whites, despite the fact that African Americans and whites use drugs at similar rates. In this context, past research has suggested that disproportionate incarceration rates are one of the key reasons for the markedly elevated rates of HIV infection among African Americans 8. This is an urgent public health concern, as African Americans represent just 12% of the US population but, in recent years, have accounted for more than 50% of the nation's new HIV infections 9. These observations raise questions about the role of the addiction medicine community in advocating for evidence-based reform of illicit drug policies. Many of us recognize the ineffectiveness of the war on drugs and its disproportionate harmful impacts on minority communities, but the field of addiction medicine's response has arguably been largely muted, especially in the face of substantial social and health-related harms to our patients. This is illustrated by the 2012 document of the American Society of Addiction Medicine (ASAM) entitled ‘State-level proposals to legalize marijuana’ 10. This report argues forcefully against state proposals to reform marijuana laws, stating: ‘No modification of these proposals would make them acceptable’. While the ASAM advocacy document acknowledges that arrests for marijuana possession account for 45.8% of US drug-related arrests, rather than acknowledging the health and social harms that can accrue from an individual's involvement in the criminal justice system, the report highlights instead the ‘significant role the criminal justice system plays in reducing marijuana use’ 10. Unfortunately, from an evidence-based public policy perspective, this conclusion is inconsistent with the World Health Organization's World Mental Health Survey Initiative, which looked recently at patterns of drug law enforcement and rates of drug use internationally and concluded that ‘globally, drug use is not distributed evenly and is not simply related to drug policy, since countries with stringent user-level illegal drug policies did not have lower levels of use than countries with liberal ones’ 5, 7. Although the ASAM document's opposition to recent marijuana law reform proposals is based on the prevailing belief that marijuana availability will increase, research funded by the US National Institute on Drug Abuse has concluded that despite 30 years of marijuana prohibition, the drug already remains ‘almost universally available to American 12th graders’, with between 80 and 90% reporting consistently that the drug is ‘very easy’ or ‘fairly easy’ to obtain 11. The ASAM report's supportive conclusions regarding the role the criminal justice system plays in reducing marijuana use is also problematic in light of recent US research demonstrating that paternal incarceration is a strong predictor of subsequent adolescent drug use 12. These observations suggest that ASAM's efforts to improve addiction policy might have a more positive real-world impact if they gave serious consideration to the limitations and serious proven harms of the status quo alongside identifying hypothetical concerns with reform proposals. In this context, one of the most intriguing discussions now taking place involves questioning whether the wealth of evidence regarding the regulatory approaches to controlling alcohol and tobacco use have relevance to illegal drugs 13. We may learn one day that strictly controlled legal regulation of drugs such as marijuana may help to eliminate the negative impacts of criminalization 1, 14 while limiting the potential negative effects of increasing availability 15. In the context of the obvious failure and harms of the ‘war on drugs’ approach 1, 14, which include elevated rates of incarceration and HIV infection among ethnic minority groups, there is a clear need for the addiction medicine community to promote more actively an unbiased discussion regarding the possible policy alternatives—which are not simply limited to prohibition versus unrestrained legalization 13. Indeed, for drugs most relevant to the spread of HIV, reductions in rates of drug use have been attributed to carefully considered, progressive public health and regulatory approaches that have sought an evidence-based middle ground between these two extremes 16. None. We thank Deborah Graham for her administrative support. This research was undertaken, in part, thanks to funding from the Canada Research Chairs programme through a Tier 1 Canada Research Chair in Inner City Medicine, which supports Dr Evan Wood. Dr Thomas Kerr is supported by the Michael Smith Foundation for Health Research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,140
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,301
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission3
Résumé présentoui

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