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Record W4410311075 · doi:10.1027/00668-000

Clinical Handbook of Psychotropic Drugs

2025· book· en· W4410311075 on OpenAlexaboutno aff

Bibliographic record

VenueHogrefe Publishing eBooks · 2025
Typebook
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
Fundersnot available
KeywordsPsychotropic drugMedicinePsychotropic AgentPsychologyPsychiatryDrug

Abstract

fetched live from OpenAlex

Quick and comprehensive information on psychotropic drugs for adults. Accurate and up-to-date Comparison charts help decision-making Icons and full color Available both in print and online Downloadable patient information sheets More about this book The Clinical Handbook of Psychotropic Drugs has become a standard reference and working tool for psychiatrists, psychologists, physicians, pharmacists, nurses, and other mental health professionals. Independent, unbiased, up-to-date Packed with unique, easy-to-read comparison charts and tables (dosages, side effects, pharmacokinetics, interactions…) for a quick overview of treatment options Succinct, bulleted information on all classes of medication: on- and off-label indications, (US FDA, Health Canada), recommended dosages, US and Canadian trade names, side effects, interactions, pharmacodynamics, precautions in the young, the elderly, and pregnancy, nursing implications, and much more – all you need to know for each class of drug Potential interactions and side effects summarized in comparison charts With instantly recognizable icons and in full color throughout, allowing you to find at a glance all the information you seek This book is a must for everyone who needs an up-to-date, easy-to-use, comprehensive summary of all the most relevant information about psychotropic drugs. Clearly written patient information sheets can be downloaded as printable PDF files from the Hogrefe website after registration New in this edition Antidepressants chapter revised extensively and includes new sections on the selective serotonin-5-HT1A agonist gepirone and difficult-to-treat depression Antipsychotics chapter includes a new section on the muscarinic agonist/antagonist combination (Xanomeline/trospium chloride), a novel treatment that does not block D2 dopamine receptors. Major revisions to TGA Dosing and Pharmacokinetics Drugs for Treatment of Dementia chapter includes donanemab infusion Drugs for ADHD comparison table expanded Drugs of Abuse chapter has been revised extensively and includes a new section on Psychedelics and Dissociative Drugs New formulations and trade names include: Abilify Asimtufii (aripiprazole extended-release 2-monthly injection), Azstarys (serdexmethylphenidate/dexmethylphenidate capsules), CAMCEVI (leuprolide 6-month slow-release SC depot injection), Drizalma Sprinkle (duloxetine capsules), Eldepryl (selegiline tablets and capsules), Eprontia (topiramate oral solution), Exxua (gepirone extended-release tablets), Ketalar (ketamine hydrochloride injection), Kisunla (donanemab infusion), Lybalvi (olanzapine/samidorphan tablets), Onyda (clonidine extended-release suspension), Relexii (methylphenidate extended-release tablets), Secuado (asenapine transdermal patch), Zurzuvae (zuranolone capsules)

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)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.243
Threshold uncertainty score0.814

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2430.227

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 head0.037
GPT teacher head0.338
Teacher spread0.301 · 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
GenreOther

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

Citations5
Published2025
Admission routes1
Has abstractyes

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