Tariffs, the War on Drugs, and Predominantly Biomedical Approaches to Addiction
Notice bibliographique
Résumé
The threat of tariffs from the current US administration is top of mind for most Canadians of late. Tariffs have the potential for damaging the Canadian economy, putting people out of work, and sowing the seeds for discontent, substance use, and addiction. One of the reasons cited for the imposition of tariffs was that Canada lacks border security, supposedly allowing vast quantities of fentanyl to enter the United States, despite a lack of evidence to support this claim.1 It also runs contrary to most effective approaches to deal with illicit drugs. In an underacknowledged landmark report,2 the RAND Corporation found that addressing the demand for cocaine by treating heavy users of cocaine was vastly more cost-effective than measures to curtail supply. In comparing the relative cost benefits of source-country control (coca leaf eradication and seizures in source countries), interdiction (cocaine and asset seizures by US Customs, US Coast Guard, US Army, and Immigration and Naturalization Services), domestic enforcement (cocaine seizures, asset seizures, and arrests of dealers and their agents by federal, state, and local law enforcement, as well as imprisonment of convicted drug dealers and their agents), and treatment of heavy users (outpatient and bed-based treatment programs), for every 1 dollar spent, source-country control returned 15 cents on the dollar, interdiction returned 32 cents on the dollar, and domestic enforcement returned 52 cents on the dollar. Comparatively, the treatment of heavy users returned $7.46 on every dollar spent. The report recommended diverting spending away from attempting to curtail supply or enforcement, as has been the predominant focus of the War on Drugs, to the treatment of heavy cocaine users. Previously, up to 70% of funding in Canada for addressing illicit substance use was allocated to enforcement strategies, resulting in increased incarceration rates,3 but over the years Canada has developed a more balanced approach where of the $513.4 million spent annually on the anti-drug strategy, 40% goes to enforcement, 37% to treatment, and 23% to prevention.4 The prior focus on enforcement also had the unintended consequence of shifting the drug supply from naturally sourced substances, like cocaine and heroin, to chemically created substances that are highly concentrated as they are less likely to be stopped by source-country control and interdiction as they can be mailed or domestically made from chemical precursors.5,6 As Fischer et al6 note in their important commentary in this issue of the Canadian Journal of Addiction, fentanyl and the other high potency synthetics are here to stay and require a more coherent and comprehensive treatment approach rather than the current piecemeal one. What is also increasingly apparent is that a predominantly biomedical approach alone will also not be effective. The interesting paper by Conway et al,7 also in this issue, identifies that the provision of safer supply prescription opioids did not appear to change the use of illicit drugs and that about 50% of the prescription opioids were taken irregularly or not at all. However, they may have been associated with slightly lower opioid overdose events and mortality rates. Buprenorphine and methadone are WHO essential medicines with demonstrated efficacy, reducing all-cause mortality and overdose in persons with opioid use disorder (OUD) while retained on Opioid Agonist Therapy (OAT).8,9 However, barriers to accessing OAT remain and up to half of persons started on OAT are not retained in treatment at 6 months.10 Addressing the often-complex psychological and social needs of our patients with frequent in-person contact to help them in the recovery process and avert potential relapse needs to become more part of daily addiction medicine practice again to enhance retention and long-term outcomes. Potentially, it was the ongoing provision of care that led to the trend in reduced overdose and mortality found by Conway et al,7 rather than the safer supply. Taken together, it appears clear that although evidence-based prescribing does play a major role in addiction treatment, especially with indicated pharmacotherapies, a predominantly biomedical approach will not work, just as policies that perpetuate the War on Drugs by predominantly focusing on enforcement also have not. The core work of addiction medicine remains direct and active, talking with the people we see to engage them where they are at, trying to address their often-complex biopsychosocial needs supportively, working with them to change their behaviors over time, and keeping them retained in follow-up care, knowing that addiction is a chronic disorder prone to relapse.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
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