Scope and Pharmacological Limitations of Medicinal Plants in The Treatment of Diseases
Bibliographic record
Abstract
This review presents literature referred to infectious and degenerative chronic diseases treated with medicinal plants. The study is based on scientific pharmaceutical literature and experimental reports. The types of diseases studied are some within the classification of chronic degenerative and infectious; literature review shows that herbs are more effective in infectious diseases, mainly diarrhea, cholera, dysentery, salmonella, typhoid fever, vaginal and skin infections and venereal diseases; while it is generating a lot of research for degenerative chronic diseases such as diabetes and cancer, and within nutritional, obesity. ABSTRACT This article presents information on successful pharmacological treat- ment of infectious and chronic degenerative diseases with medicinal plants. The disease is a biological state, where environmental and in- ternal factors threaten the stability (Pena, 2003), group of symptoms that expose the human body to an inadequate state (Feinstein, 2001). Chronic degenerative diseases (Cordova-Villalobos et al., 2008) are non-communicable, a heterogeneous group of conditions that con- tribute to mortality by a small number of outcomes (diabetes, cancer and cardiovascular diseases) Zhang et al. (2012) investigated Saskatoon berry (Amelanchier alni- folia (Nutt.) Nutt. ex. M. Roem (Rosaceae)), found it lowers glucose levels. Andrade-Cetto (2010) found that Cecropia obtusifolia and Ce- cropia peltata decrease glucose levels. June et al. (2013) investigated Laportea bulbifera (Sieb. et. Zucc.) and found significant inhibition of insulitis. Shirwaikar (2006) reported that the consumption of Garu- ga pinnata Roxb. (Burseraceae) caused decrease of glucose. Alar- con-Aguilar et al. (2010) found that Psacalium peltatum prevents in- sulin resistance. Domingues et al. (2011) regarding Uncaria tomentosa (UT), found it effective in preventing the immune damage induced by diabetes. Hong et al. (2012) found that Panax ginseng decreases hyperglycemia. Vasconcelos et al. (2011) find that Caesalpinia ferrea Martius (Leguminosae) decreases glucose.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".