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Enregistrement W1483493677 · doi:10.1111/j.1360-0443.2007.01963.x

Crack use in North American cities: the neglected ‘epidemic’

2007· editorial· en· W1483493677 sur OpenAlexaffabout
Benedikt Fischer, Michelle Coghlan

Notice bibliographique

RevueAddiction · 2007
Typeeditorial
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensBC Centre for Disease ControlUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)Psychological interventionPoliticsCriminologyHistorySociologyPsychologyDevelopment economicsDemographyPsychiatryPolitical scienceEconomicsLaw

Résumé

récupéré en direct d'OpenAlex

When claims of crack use as a new ‘drug epidemic’ emerged in the scientific and mass media in the 1980s, experts were quick to dismiss such suggestions as politically motivated fear-mongering within the context of Reagan's ‘drug war’[1,2]. A quarter-century later, we wished those initial observations had been less prophetic. In many North American cities today, crack is a ‘staple . . . in the street drug pharmacopeia’, and its users often far outnumber injection drug user populations [3,4]. Yet the problem is not mainly one of quantity. The phenomenon's devastating traits are that its users (disproportionately African American men, at least in US settings) feature some of the worst and most detrimental characteristics with regard to health and social consequences of their drug use. Equally debilitating is the fact that in terms of interventions (whether prevention or treatment) the crack problem has been treated like the proverbial stepchild's ugly cousin. A further heavy cloud is blown into this already gloomy sky by Falck et al.'s paper (published in this issue) [4] which confirms, based on a longitudinal sample of urban crack users from a mid-western US city, that most crack users will engage in their drug use habit for extensively long times (i.e. many years) without interruptions or even phases of abstinence. This, among other things, means that even under optimistic circumstances crack use is here to stay in our cities for a long time to come, and will continue to impose a heavy toll on users and communities unless dramatic changes occur on key fronts. In recent years, a sizeable body of literature has documented that crack users typically feature severely compromised somatic health status and a large proportion suffer from severe mental health problems, including both affective and personality disorders [3,5,6]. In fact, crack users are probably one of the highest-risk drug-user populations in which the interactive dynamics of comorbidity and substance use as an act of self-medication for undiagnosed and untreated psychiatric problems are most detrimentally pronounced [5,7,8]. While often not involved actively in injection drug use, crack users (often at a young age) have been shown to be at highly elevated risk for human immunodeficiency virus (HIV) and other blood-borne viruses/sexually transmitted infections (BBV/STI), as the ‘protective’ effects of less or absent involvement in injection drug use are frequently far outweighed by increased intensities of sexual risk behavior, whether related to sex work, sex-for-money exchanges or high-risk sex practices in the context of stimulant use [9–11]. More recent epidemiological warning indicators suggest that populations of crack users are at elevated risk for hepatitis C virus (HCV), prompting the (biologically) as yet unanswered question of whether HCV transmission may, in addition to drug use and sex-related risk, also occur through crack use paraphernalia sharing [12–15]. Several studies show crack users to be the most socially disadvantaged—the ‘marginalized among the marginalized’—even when compared to their street drug-using peers with the highest rates of homelessness, extreme poverty or lack of basic subsistence and highest barriers to social or health care: a picture amplified by the fact that a large proportion of crack users come from disadvantaged socio-ethnic backgrounds [16–18]. At the same time, it is crack users who typically stand out among street drug users in terms of crime involvement—regretfully involving disproportionate levels of violent crime, as also evidenced by systematic studies on longitudinal crime patterns in US cities [19–21]. It is both frustrating and distressing to see how empty the armory of targeted interventions for the high-risk populations of crack users has remained. While needle-exchange services and opioid maintenance treatment programs are widely available mainstay interventions in most western countries, and some jurisdictions are going as far as offering costly medical heroin prescription programs, the main offers to crack users may be scorn or pity. Pharmacotherapeutic treatment options for cocaine/crack dependence appear to indicate ‘no evidence’ for efficacy [22], with new agents being experimented within early and speculative stages at best, and other approaches (whether cognitive, psychotherapeutic or contingency management) have not demonstrated convincing long-term effects [23–25]. Rudimentary preventive interventions—such as community-based ‘safer crack use kits’ initiatives launched in several Canadian cities—have not yet been allowed to demonstrate their potential public health impact and have remained largely socio-politically controversial and under-resourced [3,15]. In North America and elsewhere, researchers and policy makers need to embrace the fact that both quantitatively and qualitatively crack use is one of the largest and most destructive pieces in the overall picture of our cities' illicit drug problem, and is likely going to be around for some time. Over the period of a quarter-century, we have made little if any progress concerning effective interventions. It is time to recalibrate our aim and focus drastically, and devote concerted energy todeveloping knowledge and measures that will make crack users less prone to disease, crime and marginalization and more likely to be offered effective therapeutic interventions, so that in years from now this commentary will have no need to be repeated.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,423
Score d'incertitude au seuil0,984

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,019
Tête enseignante GPT0,287
Écart entre enseignants0,268 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations44
Publié2007
Routes d'admission2
Résumé présentoui

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