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Record W2031852329 · doi:10.15373/22778160/mar2014/48

Scope and Pharmacological Limitations of Medicinal Plants in The Treatment of Diseases

2012· article· en· W2031852329 on OpenAlexaboutno aff
Gabriel Miranda Trejo, Hilaria Angélica Gómez Calderón, Gerardo Gómez González, Jordán Miranda Trejo

Bibliographic record

VenueGlobal Journal For Research Analysis · 2012
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Intensive care medicineTraditional medicineRisk analysis (engineering)MedicineBusinessComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.524
GPT teacher head0.594
Teacher spread0.070 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2012
Admission routes1
Has abstractyes

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