From Herb to Herbal Drug: Innovation in Quality Control and Standardization of Plant-Based Therapeutics

Abstract

The global rise in plant-based therapeutics demands a stronger framework for quality control (QC) and standardization to ensure safety and clinical reliability. Standardizing herbal drugs is challenging because they contain many interacting phytochemicals rather than a single active compound, and their composition varies with genetics, environment, cultivation, and processing. These sources of variability, along with risks of adulteration or species substitution, highlight the need for advanced analytical tools.

Modern QC uses high-resolution techniques such as UHPLC-HRMS for detailed chemical fingerprinting and trace-level detection. Molecular authentication methods, including DNA barcoding, further confirm botanical identity. Systems-level approaches, particularly metabolomics and the development of Quality Markers (Q-markers), link chemical features to therapeutic activity and help validate synergistic effects in multi-component formulations. Emerging computational tools, especially Artificial Intelligence (AI) and Machine Learning (ML), are expected to transform QC through predictive modelling, Quality-by-Design workflows, golden-batch analytics, and early prediction of herb–drug interactions.

Together, these innovations support the development of safe, consistent, and globally reliable herbal therapeutics.