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Enregistrement W80465893 · doi:10.1177/070674370505000505

Can Patients with Alcohol Use Disorders Return to Social Drinking? Yes, So What Should We Do about It?

2005· article· en· W80465893 sur OpenAlexaffvenue
David C. Hodgins

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2005
Typearticle
Langueen
DomaineMedicine
ThématiqueSubstance Abuse Treatment and Outcomes
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésAbstinenceHarmPerspective (graphical)Psychological interventionPsychologyHarm reductionAlcoholPsychiatryDiseaseMedicineSocial psychologyPublic healthComputer scienceNursing

Résumé

récupéré en direct d'OpenAlex

Polemics on the issue of whether people with alcohol use disorders can learn to moderate their alcohol use have existed for decades (1). On one side of the debate are advocates of the disease, or 12-step, model of alcohol problems, who argue that individuals suffering from the disease will inevitably lose control of their use if exposed to any amount of alcohol. According to this model, abstinence is the only way to arrest the disease's development. From the alternative perspective, several related arguments are mounted. Some proponents argue that folks require different strokes-that different types of alcohol problems require different types of responses, such as abstinence for some problems and moderated drinking for other types. Other clinicians focus on the benefits of adopting a harm-reduction orientation toward alcohol problems. This approach focuses less on the amount of alcohol consumed and more on helping individuals decrease the harms related to alcohol use. Although abstinence may be desirable, it is not the primary measure of successful outcome. In this paper, I briefly review the arguments supporting the feasibility of nonabstinent drinking outcomes and argue further that we should shift the debate from whether nonabstinent goals are feasible to how we can best integrate such a perspective into our treatment systems. If we expand the range of our treatment options, we may encourage more people with alcohol use disorders to seek treatment. Finally, I discuss what interventions are appropriate to incorporate in this expansion, if we accept that nonabstinence goals are appropriate for some people. Several lines of evidence point to the validity of nonabstinence treatment goals for some people with alcohol use problems. First, as early as the 1940s, follow-up studies of individuals suffering from alcoholism have revealed that a proportion of patients, albeit a small group, describe successful and sustained nonabstinence outcomes (2). The most widely cited of these studies is the Rand report from the mid-1980s, which followed up a large US national sample of patients from abstinence-oriented inpatient alcohol treatment programs. Remarkably, about 18% of these patients were described as drinking in a problem-free fashion after 4 years (3). A second line of evidence comes from treatment evaluation studies that have included nonabstinent drinking goals. Amborgne recently reviewed these studies (2) and identified 12 that consistently found that some patients were able to sustain posttreatment nonproblem drinking over follow-up periods ranging from 1 to 8 years. Several patient characteristics are found to predict successful nonabstinent outcomes. These include younger age, relatively better social and psychological stability, being employed, being female, and having less severe alcohol dependence (4), as well as having a stronger belief in one's ability to moderate drinking (5). Several medical factors, including pregnancy and liver disease, preclude a nonabstinent goal. Why, then, have our treatment systems not fully embraced these data and promoted interventions that allow nonabstinent outcome goals? The diverse political and economic barriers to system change have been discussed elsewhere (6) and are not limited to the substance abuse field. However, one relevant factor is, of course, the experience and intuition of individual clinicians. As clinicians, we are uncomfortable with incorrectly predicting an individual's outcome. Unfortunately, none of the patient characteristics that predict successful moderation are robust enough to be used by clinicians planning individual patient treatment. Rather, a probabilistic model fits-the more indictors present in an individual, the more likely it is that the goal is appropriate. Even so, the prediction is not perfect: a particular patient with all the right indicators for successful moderation (for example, a younger, socially and psychologically stable woman with a mild alcohol problem) might better quit than cut back on her drinking. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,013
score de la tête « metaresearch » (Gemma)0,047
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,066

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,047
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,008
Communication savante0,0060,013
Science ouverte0,0020,003
Intégrité de la recherche0,0100,013
Charge utile insuffisante (le modèle a refusé de juger)0,0070,004

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 Opus0,022
Tête enseignante GPT0,268
Écart entre enseignants0,246 · 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 source (Gemma direct ou Codex distillé), 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
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

Citations13
Publié2005
Routes d'admission2
Résumé présentoui

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Même revueThe Canadian Journal of Psychiatry→Même sujetSubstance Abuse Treatment and Outcomes→Travaux en français237 207→