Book Review: Psychopharmacology: Psychotropic Drugs and the Elderly: Fast Facts
Bibliographic record
Abstract
The 4th in the Fast Facts series, this weighty book goes far beyond the purpose indicated in the title; it provides an accessible clinical guide to the complex field of geriatric drug therapy and also acknowledges a continuing need to advance the art of treatment for elderly patients, whom almost every psychiatrist increasingly encounters.With remarkably little repetition, the drug-focused text offers a thorough introduction that illuminates evidence-based and peer-reviewed information by employing comprehensive searches of the electronic and Cochrane databases.The text also benefits from the criteria for clinical literature selected from the author's experienced perspective.The 4 chapters-"Antidepressants," "Antipsychotic Agents," "Antianxiety Drugs and Sedative/Hypnotics," and "Mood Stabilisers and Cognitive Enhancers"-deal with the major classes of medication, follow a comparable format, and include descriptions of individual agents."Appendix A" addresses newly approved drugs, and "Appendix B" provides a profile of each of the psychotropic drugs, including the form in which they are available, their appearance, and their cost.References are grouped according to the sequence of the introduction and chapters, the index is reliable, and the addition of the list of abbreviations used throughout the book allows facts to be found with a minimum of narrative.This book is intended not only to ease the bewilderment of the clinician who is challenged by an "array of interacting variables" and faced with the "mini clinical trial" represented
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 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.083 | 0.064 |
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".