Ethnopharmacology explores bioactive compounds rooted in traditional medical knowledge systems and holds immense promise for drug discovery, cultural preservation, and healthcare innovation. However, fragmented documentation, minimal digitization, and limited integration with biomedical frameworks remain major barriers. The advent of generative artificial intelligence (GenAI), including large language models (LLMs) and molecular generation algorithms, offers transformative solutions to these challenges. This narrative review critically examines the application of GenAI in ethnopharmacology and highlights its role in digitizing traditional knowledge, decoding polyherbal formulations, predicting herb-drug interactions, and accelerating phytopharmaceutical discovery. It synthesizes current literature on GenAI tools and methods relevant to ethnopharmacology, considering natural language processing, knowledge graph construction, molecular modeling, and multimodal data integration. A five-phase strategic framework is proposed for the ethical and effective implementation of GenAI. This review narrates real-world applications from Asian (Ayurvedic, Chinese, Japanese, Thai, Vietnamese), African, and Indigenous American medicines systems demonstrate adaptability across cultures. Stakeholder-specific benefits, spanning academia, healthcare, industry, and indigenous communities, are also discussed, along with methodological innovations and ethical considerations. GenAI offers a significant transition in ethnopharmacology by integrating traditional knowledge systems with advanced computational tools to develop inclusive data-driven innovation across global traditional medicine systems.

This work was the first investigation of the essential oil composition of Goniothalamus tortilipetalus M.R.Hend. The aim of this study is to investigate the essential oil composition extracted from different parts of Goniothalamus tortilipetalus M.R.Hend., including flowers, leaves, and twigs, and to evaluate their antioxidant and antibacterial activities. The Clevenger apparatus was used for hydrodistillation to prepare the essential oils. The essential oils were investigated using gas chromatography–mass spectrometry (GC-MS). The three major compounds of the flowers were bicyclogermacrene (15.81%), selin-11-en-4-α-ol (14.68%), and E-caryophyllene (7.02%), whereas the leaves were p-cymene (39.57%), ascaridole (9.39%), and α-copaene (9.12%). In the case of the twigs, α-copaene (10.34%), selin-11-en-4-α-ol (8.85%), and p-cymene (7.76%) were the major compounds. The flower essential oil showed antioxidant activities with IC₅₀ values of 725.21 µg/mL and 123.06 µg/mL for DPPH and ABTS assays, respectively. The flower essential oil also displayed antibacterial activity against Bacillus subtilis, Staphylococcus aureus, Micrococcus luteus, Salmonella typhimurium, and Shigella flexneri, with the same MIC value of 640 µg/mL.

Red limestone is a mixture of turmeric (Curcuma longa L.) powder and limestone which is made from burning shells at high temperature. The yellow mixture turns to red color or deep orange because of the reaction between turmeric and calcium carbonate in limestone. Red limestone is traditionally used to treat many diseases such as abscess, cut wound and insect bite. The purpose of this study was to investigate anti-inflammatory activity and chemical constituents of red limestone. The chemical analysis of red limestone extract by liquid chromatography with tandem mass spectrometry revealed that red limestone consisted of alpha-turmerone and curcumanolide B as major components. These compounds were related with the chemical constituents in C. longa extract which is a main ingredient of red limestone. However, curcuminoids were not detected in red limestone extract. Cytotoxicity of red limestone extract was investigated. Macrophage cell lines (RAW 264.7) and human keratinocyte cell lines (HaCaT cells) were investigated cell viability using MTT assay. Red limestone extract was nontoxic to normal cells such as macrophage cells and human keratinocyte cells. Moreover, the inflammatory activity was detected nitric oxide (NO) secretion in RAW 264.7 cells. The result showed that the extracts inhibited NO in dose-dependent manner and IC₅₀ was found to be 102.42 μg/ml. It suggested that red limestone extract had a potential for anti-inflammatory activity.

Centella asiatica (L.) Urb. (Apiaceae) is widely incorporated into dermatological and wound-healing formulations, where dechlorophylization is commonly used to improve extract stability, although its biological consequences are not fully understood. In this study, an ethanolic extract of C. asiatica leaves (CAE) was compared with a dechlorophylized C. asiatica extract (DCAE) in terms of cytotoxicity, wound-healing, anti-inflammatory, and antimicrobial activities, complemented by network pharmacology analysis. DCAE exhibited improved cytocompatibility, remaining non-cytotoxic up to 100 µg/mL, whereas CAE showed cytotoxic effects above 25 µg/mL. In contrast, CAE demonstrated superior wound-healing performance, reducing the residual wound area to 21.77% compared with 36.81% for DCAE and inducing higher Ki67 expression (1.94-fold versus 1.58-fold). These findings suggest that chlorophyll-associated constituents may contribute to keratinocyte proliferation and re-epithelialization. Although DCAE was enriched in pentacyclic triterpenes, including asiatic acid, asiaticoside, madecassic acid, and madecassoside, it showed stronger anti-inflammatory effects by more effectively suppressing CXCL10, IL-6, TNF-α, and IL-8 expression. Both extracts displayed weak antibacterial activity but moderate antifungal effects against Candida albicans, likely mediated through membrane disruption. Network pharmacology further indicated that wound-healing activity is associated with the regulation of COL1A1 and VEGFA through quercetin, kaempferol, and asiatic acid by way of the PI3K-Akt and MAPK signaling pathways, whereas anti-inflammatory effects involve modulation of PTGS2 and TNF through the NF-κB and IL-17 pathways. Overall, DCAE enhances cytocompatibility and anti-inflammatory activity, while CAE retains stronger regenerative capacity. These findings support the rational design of tailored formulations for specific dermatological applications, such as promoting wound repair or alleviating chronic skin inflammation.