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Record W2082971124 · doi:10.1055/s-2009-1216545

Pharmacokinetic Interaction of Ginkgo Biloba with Carbamazepine

2009· article· en· W2082971124 on OpenAlexfundno aff
Rodda Harish Chandra, M Rajkumar, Ciddi Veeresham

Bibliographic record

VenuePlanta Medica · 2009
Typearticle
Languageen
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsnot available
FundersNational Institute on Drug AbuseAgricultural Research ServiceUniversity of British ColumbiaUniversity of Illinois at Urbana-ChampaignChinese Academy of SciencesKurukshetra UniversityUniversity of Illinois at ChicagoNational Oceanic and Atmospheric AdministrationU.S. Food and Drug AdministrationNational Science Foundation of Sri LankaUniversity of ColomboU.S. Department of AgricultureWestern Carolina UniversityInternational Science CouncilNational Center for Complementary and Alternative MedicineChina Academy of Traditional Chinese MedicineNational Institutes of HealthNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesTürkiye Bilimsel ve Teknolojik Araştırma KurumuHong Kong Polytechnic UniversityNational Science FoundationDeutsche KrebshilfeNational Natural Science Foundation of ChinaTata TrustsUniversity Grants CommissionWake Forest University
KeywordsGinkgo bilobaCmaxCarbamazepineGinkgoalesPharmacokineticsPharmacologyOxidative stressMedicineHigh-performance liquid chromatographyGinkgoChemistryTraditional medicineChromatographyPharmacognosyBiological activityInternal medicineBiochemistryEpilepsyIn vitro

Abstract

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Ginkgo biloba L. (Ginkgoaceae) usage has recently gained interest among herbalists and modern medical practitioners because of its unique pharmacological actions that are attributed to active substances such as flavonoids and terpenoids [1]. It is commonly prescribed for improvement of cerebral circulation, memory improvement and antioxidant activity. Epileptics have a greater chance of oxidative stress and memory impairment. G. biloba can be used as an alternative remedy in specific conditions such as oxidative stress and memory impairment [2]. This study aims to evaluate the pharmacokinetic interaction between the aqueous extract of Ginkgo biloba and carbamazepine. Two groups of animals, each containing 6 animals were used. The Group 1 and Group 2 received pretreatment with two different doses of extract for 7 days and on day 8 the extract was co – administered with carbamazepine. The Group 3 (control) received carbamazepine alone on day 8. The blood samples were collected for 24 hours. Samples were analyzed by HPLC [3] and pharmacokinetic parameters were calculated. Analysis of the data reveals that there was very significant decrease (p < 0.05) in the C max (4.32 ± 0.24 µg/ml), AUC total (20.31 ± 1.41 µg/ml h)and AUC 0 to n (18.31 ± 1.06 µg/ml h) of Group 1 when compared to C max (6.76 ± 0.40 µg/ml), AUC total (36.79 ± 1.57 µg/ml h) and AUC 0 to n (34.81 ± 1.23 µg/ml h) of control. There was also a significant decrease in the C max (3.51 ± 0.28 µg/ml), AUC total (11.60 ± 0.93 µg/ml h), AUC 0 to n (10.33 ± 0.82 µg/ml h), and MRT(3.53 ± 0.24 h) of Group 2 when compared to C max (6.76 ± 0.40 µg/ml), AUC total (36.79 ± 1.57 µg/ml h), AUC 0 to n (34.81 ± 1.23 µg/ml h) and MRT(5.59 ± 0.24 h) of control. There was no significant difference in the t 1/2 of the drug in both study groups when compared with control. This data suggest that Ginkgo biloba reduced the bioavailability and increased the rate of elimination of carbamazepine which confirms that there is significant herb-drug interaction between the two. References: [1] Kleijnen J, Knipschild P, (1992), Lancet, 340: 1136–1139. [2] Christen Y, (2004), Frontiers in Bioscience, 9: 3091–3104. [3] Kishore P, Krishna DR, (2003), Drug Research, 53: 763–768.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.292
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations7
Published2009
Admission routes1
Has abstractyes

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