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Specialty Journal of Pharmacognosy, Phytochemistry, and Biotechnology

2026 Volume 6 Issue 1

Medicinal-Plant Chemistry Under Climate Instability Requires Dynamic Provenance: A Risk Model Linking Environment, Developmental Stage, Harvest Timing, and Therapeutic-Quality Specifications


, , ,
  1. Department of Climate-Responsive Medicinal-Plant Chemistry, Faculty of Pharmacy, National University of Colombia, Bogota, Colombia.
  2. Department of Developmental Stage and Harvest Timing, Faculty of Pharmacy, University of Chile, Santiago, Chile.
  3. Department of Therapeutic-Quality Risk Modeling, Faculty of Pharmacy, University of Antioquia, Medellin, Colombia.
Abstract

Medicinal-plant provenance is commonly recorded as a geographic property, yet climate instability increasingly challenges the assumption that material collected from the same named region will retain a chemically comparable state across years, seasons, developmental stages, and harvest conditions. This article develops an original provenance-risk model for medicinal plants that treats provenance as a dynamic combination of botanical identity, environmental exposure, developmental state, harvest timing, early post-harvest history, and analytical confidence. The supporting literature shows that climatic and edaphic variables can influence specialized-metabolite profiles, that different metabolite classes may respond differently to the same environmental stress, and that developmental and harvest transitions can substantially alter medicinal-material chemistry. These observations do not establish a universal direction of chemical change or demonstrate that chemical drift necessarily changes therapeutic efficacy. The proposed model therefore separates observed chemical variation from specification-relevant drift and, further, from any inference concerning therapeutic-quality consequences. It also preserves geographic origin as an essential baseline while rejecting its use as a sufficient proxy for the environmental and temporal conditions that generate the measured chemical state. The resulting framework is intended to support risk-informed sourcing, longitudinal chemical surveillance, and evidence-linked quality specifications rather than provide a validated predictive score. Prospective multi-year, multi-site, genotype-aware, analytically harmonized, and functionally qualified studies will be required before dynamic provenance can be translated into generalizable decision thresholds or regulatory practice.


How to cite this article
Vancouver
Alvarez M, Herrera S, Cruz D, Castro A. Medicinal-Plant Chemistry Under Climate Instability Requires Dynamic Provenance: A Risk Model Linking Environment, Developmental Stage, Harvest Timing, and Therapeutic-Quality Specifications. Spec J Pharmacogn Phytochem Biotechnol. 2026;6(1):71-9. https://doi.org/10.51847/xWI6dwzZZC
APA
Alvarez, M., Herrera, S., Cruz, D., & Castro, A. (2026). Medicinal-Plant Chemistry Under Climate Instability Requires Dynamic Provenance: A Risk Model Linking Environment, Developmental Stage, Harvest Timing, and Therapeutic-Quality Specifications. Specialty Journal of Pharmacognosy, Phytochemistry, and Biotechnology, 6(1), 71-79. https://doi.org/10.51847/xWI6dwzZZC
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