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Record W2736483045 · doi:10.1177/070674370505000308

Book Review: Addictions: The Treatment of Drinking Problems: A Guide for the Helping Professions

2005· article· en· W2736483045 on OpenAlexaffvenueabout
Nady el‐Guebaly

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2005
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsAddictionPsychologyPsychotherapistPsychiatryMedicine

Abstract

fetched live from OpenAlex

The Treatment of Drinking Problems: A Guide for Helping Professions. Griffith Edwards, E Jane Marshall, Christopher CH Cook. New York: Cambridge University Press; 2003.412p. US$50.00. Reviewer rating: Very Good As I began reviewing this book, now in its fourth edition, it dawned on me that I had pleasure of reviewing third edition as well (1). Our patients commonly present a clinical picture of polysubstance abuse; teaching texts devoted exclusively to drinking problems are less common. Thus, in comparing third and fourth editions of this focused publication, I expected to gain a good sense of recent advances in field. Dr Griffith Edwards is founder of National Addiction Centre, London, England, professor emeritus at University of London, and Editor-in-Chief of Addiction. The coauthors since third edition, Dr Jane Marshall and Dr Christopher Cook, are noted for their own pioneering work. Like third edition, book is aimed at a multidisciplinary audience of professionals in field and is divided into 2 main sections. The first section has 13 chapters. A new introductory chapter on history of treatment reminds us that it was Trotter, as early as beginning of 19th century, who posited that, far from being a sin, the habit of drunkenness was a disease of mind (2). An overview of causes of drinking problems follows, integrating related sociocultural, psychological, and biological dimensions across lifespan. The next chapter focuses on drug alcohol and includes an update on its receptors' action. The book's midsection begins with a description of clinical sensitivities surrounding alcohol-dependence syndrome, masterfully covered by group who powerfully helped define it. A synopsis of consequences on family and social functioning follows. The array of neuropsychiatrie as well as psychiatric comorbidities receive expanded attention in this edition. The common comorbid use of other drugs alluded to in my introduction is reviewed in next chapters, along with physical complications. The section appropriately ends with an overview of special clinical presentations among women, as well as an overview of different age, cultural, comorbid, and social groups. However, no mention is made of affected health professionals. The challenges involved in defining and estimating long-term outcomes conclude section. The second section addresses screening, assessment, and treatment issues. The seasoned clinical skills of authors are evident in chapters on screening and assessment and management of withdrawal. (Why, however, was Canadian Clinical Institute Withdrawal Assessment Scale not mentioned?) This subject is followed by a discussion of therapeutic basic work of engagement and an essay on Alcoholics Anonymous. The next part is, in my opinion, less rewarding. In 24 pages, it reviews a series of psychological approaches (for example, motivational interviewing, cognitive-behavioural therapy, behavioural self-control, relapse prevention, and psychotherapy), along with current pharmacotherapeutic armementarium. …

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.068
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0680.066

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 head0.029
GPT teacher head0.309
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2005
Admission routes3
Has abstractyes

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