Bibliographic record
Abstract
Americans seeking herbal medicines now face confusion and even danger. There is great potential for these medicines to improve the health of consumers--if current regulations can be revised!Herbal Medicine: Chaos in the Marketplace is a prize-winning critique of the regulation and business of herbal medicine in the United States. It is the first book that examines the big picture issues-it tells the story of how the present situation developed, looks at what it means for consumers, compares approaches taken in other industrialized countries, and recommends where we need to go from here. Convenient reference tables provide easy access to information.Concerns about herbal medicines are hitting the headlines regularly, yet no other book has examined the core issues in depth from a public health perspective. Herbal Medicine: Chaos in the Marketplace fills that gap. It is highly relevant today, and you’ll find it will continue to be indispensable reading for years to come as the situation plays out.This balanced, unique, and insightful volume will add to your knowledge of herbal medicine regulation and its impact on consumer health by: framing the limitations of the current situation with brief examples reviewing the regulatory history of herbal medicines in the United States placing the situation in an international context by also examining regulations in Canada, Germany, France, and the United Kingdom illustrating the practical implications of U.S. regulations with six examples that demonstrate how herbal medicines could contribute more to consumer health--and the public health risks associated with the current regulatory situation analyzing the public health issues related to safety, research, clinical practice, consumer interests, business, media, and federal government offering key, high-impact recommendations for future policyConsumers, health care professionals, business people in the domestic and foreign herb industries, researchers, health plan executives, food and drug attorneys and policymakers, as well as educators and students, will all find this book essential to their understanding of the workings of the herbal medicine industry. Visit the author’s website at https://www.herbalchaos.com
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.423 | 0.247 |
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".