Clinical Handbook of Psychotropic Drugs
Bibliographic record
Abstract
Quick and comprehensive information on psychotropic drugs for adults. - Accurate and up-to-date - Comparison charts help decision-making - Icons and full color - Available in print and online - Downloadable patient info 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 -Clearly written patient information sheets available for download as printable PDF files 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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; both teacher heads agree on what is shown here.
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".