Modernizing Withdrawal Management Services
Bibliographic record
Abstract
ABSTRACT Alcohol, opioid, and stimulant withdrawal syndromes are serious clinical presentations, some of which can be life-threatening if untreated. Patients presenting with withdrawal syndromes offer an important opportunity for healthcare providers to ally in deciding the most appropriate treatment setting, safely treating withdrawal symptoms, preventing potentially severe medical complications, and facilitating a transition to longer-term low-barrier substance use care including, where available, psychosocial interventions, evidence-based pharmacotherapies, and referrals for primary care-based or specialist-led services. Given that substance use disorders are chronic biopsychosocial disorders commonly characterized by periods of relapse and remission, patients presenting in substance withdrawal deserve a long-term and holistic approach to management that cannot be simply achieved in short-term withdrawal management siloed and separate from a continuum of ongoing substance use care. With this in mind, this narrative review of withdrawal management literature describes recent advances and challenges in clinical care for patients in withdrawal from alcohol, opioids, and stimulants. Les syndromes de sevrage liés à l’alcool, aux opioïdes et aux stimulants sont des manifestations cliniques graves, dont certaines peuvent mettre la vie en danger si elles ne sont pas traitées. Les patients présentant des syndromes de sevrage offrent aux fournisseurs de soins de santé une occasion importante de s’allier pour décider du cadre de traitement le plus approprié, traiter en toute sécurité les symptômes de sevrage, prévenir les complications médicales potentiellement graves et faciliter la transition vers des soins de consommation de substances à faible barrière à long terme, y compris, lorsque disponibles, interventions psychosociales, pharmacothérapies fondées sur des données probantes et aiguillage vers des services de soins primaires ou dirigés par des spécialistes. Étant donné que les troubles liés à l’usage de substances sont des troubles biopsychosociaux chroniques généralement caractérisés par des périodes de rechute et de rémission, les patients se présentant en sevrage de substances méritent une approche à long terme et holistique de la prise en charge qui ne peut être simplement réalisée dans une gestion du sevrage à court terme cloisonnée et séparée d’un continuum des soins continus liés à l’usage de substances. Dans cet esprit, cette revue narrative de la littérature sur la gestion du sevrage décrit les progrès récents et les défis dans les soins cliniques pour les patients en sevrage d’alcool, d’opioïdes et de stimulants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".