Notice bibliographique
Résumé
St. John's wort (Hypericum perforatum L.) has been used as a medicinal plant in Europe and Asia for centuries. Although it is best known today for its use by patients with mild to moderately severe depression, St. John's wort has also been used orally as a traditional treatment for excitability, neuralgia, fibrositis, sciatica, and anxiety and as a topical preparation for the treatment of wounds (1). Concerns over its use have been raised with the recognition that, whatever its beneficial health effects might be, St. John's wort interacts powerfully with many important drugs, potentially mitigating their effects (1). That herbal medicines may have adverse pharmacologic properties has come as a surprise to those who assumed that natural products must be safe. Yet, for products (be they synthetic drugs or complex herbal mixtures) to convey beneficial physiologic effects, we understand that the biochemical constituents in them must also harbor the risk for adverse effects. For herbal medicines, many such direct reactions are well described, including hypersensitivity reactions, liver toxicity, and coagulopathy (2). Herbal medicine–drug interactions were described only more recently. In addition to St. John's wort, a number of herbal remedies have been identified that affect synthetic drug metabolism and, potentially, drug efficacy. According to a recent systematic review (2), four of the seven top-selling herbal medicines in this country interfere with the metabolism or efficacy of approved synthetic drugs: Ginkgo biloba (ginkgo) may enhance or alter the effects of warfarin, thiazide diuretics, and trazodone. Panax ginseng (ginseng) interacts with alcohol, warfarin, and phenelzine. Allium sativum (garlic) changes the pharmacokinetics of paracetamol and warfarin and the effects of chlorpropamide. Piper methysticum (kava) alters or enhances the effects of levodopa and alprazolam. Among these herbal medicines, the reports regarding drug interactions with St. John's wort have been the most impressive. St. John's wort induces highly promiscuous drug detoxification pathways and thus interferes with metabolism of many classes of drugs. Repeated administration of St. John's wort results in potent and selective induction of cytochrome P450 (CYP) 3A in the intestinal wall and in the liver (3,4), apparently because the major constituent of St. John's wort, hyperforin, is a ligand for the pregnane X receptor, which regulates expression of the CYP3A4 monooxygenase (5). Another constituent of St. John's wort, hypericin, induces P-glycoprotein (Pgp)/MDR-1 expression in the intestinal wall in vitro and in vivo (3,6) and enhances the drug efflux function of Pgp (7). Hypericin also causes catalytic inhibition of human DNA topoisomerase II α in cell cultures (8). The effects of St. John's wort on drug levels have been confirmed in the clinic. A seminal study demonstrated that St. John's wort statistically significantly lowers plasma concentrations of the human immunodeficiency virus-1 (HIV-1) protease inhibitor indinavir in normal volunteers, likely the result of CYP3A induction (9). After exposure to St. John's wort, patients with HIV had increased plasma clearance of the non-nucleoside reverse transcriptase inhibitor nevirapine (10). These botanical–drug interactions are very disconcerting because the plasma level reductions of antiretroviral agents could expose affected patients to an increased risk for the development of viral drug resistance and disease progression. Similarly, in transplant patients, cyclosporin A levels were lower in patients taking St. John's wort, likely the result of both Pgp activation and cytochrome P450 induction (11), which were associated with acute graft rejection in several patients (12). A recent case report (13) associated taking St. John's wort with diminished tacrolimus levels in a renal transplant patient. St. John's wort also statistically significantly reduces plasma concentrations of the lipid-lowering agent simvastatin via CYP3A induction (14) and may increase the serotoninergic effects of triptans and selective serotonin reuptake inhibitors (SSRIs) (1). Given the general effects of St. John's wort on drug metabolism, its ingestion could be predicted to have profound implications for cancer therapy. Pgp induction is associated with drug resistance to anthracyclines, vinca alkaloids, epipodophyllotoxins and taxanes. Obviously, topoisomerase II α inhibition will result in decreased activity of etoposide, as well as of anthracyclines and dactinomycin. In fact, an undesirable interaction between St. John's wort and cancer drugs has now been realized in the report by Mathijssen et al. (15) in this issue of the Journal. In an unblinded, randomized crossover study, five cancer patients were treated with irinotecan in the presence and absence of St. John's wort. Plasma levels of the active metabolite of irinotecan, SN-38, statistically significantly decreased in patients treated with irinotecan and taking St. John's wort. As expected, myelosuppression was worse in patients not exposed to St. John's wort. Mathijssen et al. conclude that patients taking irinotecan should avoid St. John's wort, because irinotecan levels may be decreased by it, resulting in an increased risk of treatment failure. Animals evolved formidable biochemical mechanisms to detoxify and eliminate otherwise harmful chemicals through their oxidation, conjugation, and excretion. These pathways afforded protection against potentially toxic foods long before drugs were invented. For many decades synthetic drugs largely displaced herbal medicines; thus, the issue of potential herb–drug interactions never loomed as a large one. With increased availability in the American marketplace and increased public consumption of herbal medicines over the past decade, however, the specter of herb–drug interactions has emerged as a credible public health problem. The report by Mathijssen et al. (15) extends our concerns to the field of cancer pharmacotherapeutics. Surveys have shown that cancer patients are among the most likely to seek complementary and alternative medical (CAM) remedies, including herbal medicines, with the hope that they would reduce the side effects of conventional treatments, extend life, or at least enhance quality of life (16). While awaiting outcomes of National Institutes of Health-funded studies of CAM practices in cancer patients, it would be prudent for patients and their oncologists to appreciate that, no matter how beneficial some approaches may appear to be, they are not all safe. Together, patients and oncologists should consider the options and develop a plan regarding which CAM practices to pursue and which to put aside altogether.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,032 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,038 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».