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Record W2943484733 · doi:10.1097/cxa.0000000000000034

Alcohol Withdrawal Management and Relapse Prevention in Pregnancy

2018· article· en· W2943484733 on OpenAlexaffvenue
Patrick L. L. McDonald, Lingsa Jia, Sharon Vipler

Bibliographic record

VenueThe Canadian Journal of Addiction · 2018
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsSt. Paul's HospitalUniversity of British ColumbiaSurrey Memorial HospitalUniversity of British Columbia HospitalFraser HealthVancouver General Hospital
Fundersnot available
KeywordsMedicineAcamprosateNaltrexoneRelapse preventionAlcohol use disorderPregnancyPopulationPsychiatryMedical prescriptionAlcoholIntensive care medicineOpioidInternal medicinePharmacology

Abstract

fetched live from OpenAlex

ABSTRACT Objectives: The aim of this is to provide a clinical example of acute alcohol withdrawal management and alcohol use disorder (AUD) relapse prevention, followed by a systematic review of the existing literature that provides clinicians with suggestions regarding treatment of this common clinical scenario. Methods: A case report was prepared with respect to the medical management of a patient that had been seen by our team. We searched “PubMed” and “The UBC Library Online Collections” using the search limits of subject terms for “alcohol withdrawal,” and “pregnancy,” and all fields for “management,” NOT “opioid.” We also reviewed medications frequently used in treating AUD as per the existing literature. Results: One case report met our search criteria. We also reviewed the recently published guidelines by the American Psychiatric Association. Several medications used in acute alcohol withdrawal and relapse prevention are known teratogens. However, several medications appear to be compatible with pregnancy and were found to be Category C and their use may outweigh the risks. Conclusions: There is a paucity of synthesized literature pertaining to alcohol withdrawal treatment and pregnancy. Given the relatively high prevalence of AUD in the population, further investigation is warranted. The current data supports a thorough consideration of the risks of medications against the known teratogenicity of alcohol. We suggest only brief use of benzodiazepines to manage the acute withdrawal from alcohol. Gabapentin, naltrexone, or acamprosate could be considered for AUD relapse prevention. Objectifs: L’objectif est de fournir un exemple clinique de gestion du sevrage alcoolique aigu et de prévention des rechutes liées à l’usage de l’alcool, suivi d’un examen systématique de la littérature existante fournissant aux cliniciens des suggestions concernant le traitement de ce scénario clinique courant. Méthodes: Un rapport de cas a été préparé concernant la gestion médicale d’un patient vu par notre équipe. Nous avons effectué une recherche dans «PubMed» et «Les collections en ligne de la bibliothèque de l’UBC» en limitant la recherche des termes utilisés pour «sevrage alcoolique» et «grossesse» et tous les champs pour «gestion», excluant «opioïdes». Nous avons également passé en revue les médicaments fréquemment utilisés dans le traitement des troubles liés à la consommation d’alcool, conformément à la littérature existante. Résultats: Une analyse de cas répondait à nos critères de recherche. Nous avons également examiné les lignes directrices récemment publiées par l’American Psychiatric Association. Plusieurs médicaments utilisés dans le sevrage alcoolique aigu et la prévention des rechutes sont connus comme agents tératogènes. Cependant, plusieurs médicaments semblent être compatibles avec la grossesse et se sont avérés être de la catégorie C et les effets bénéfiques l’emportaient sur les risques. Conclusion: Il existe peu d’études synthétisées sur le traitement de sevrage alcoolique en lien avec la grossesse. Compte tenu de la prévalence relativement élevée de troubles liées à la consommation d’alcool dans la population, des investigations supplémentaires sont nécessaires. Les données actuelles justifient un examen approfondi des risques des médicaments contre la tératogénicité connue de l’alcool. Nous suggérons de n’utiliser que brièvement les benzodiazépines pour gérer le sevrage aigu de l’alcool. La gabapentine, la naltrexone ou l’acamprosate pourraient être envisagés pour la prévention des rechutes liées à l’alcoolisme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.245
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2018
Admission routes2
Has abstractyes

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