ReviewChemistry & biodiversity2026
Green Drug Discovery: Leveraging Biodiversity for Sustainable Pharmaceutical Solutions.
Review in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pharmaceutical industry is undergoing a crucial transformation toward sustainability, driven by the urgent need to reduce environmental harm while maintaining innovation in drug discovery and development. Next-generation green pharma integrates biodiversity, green chemistry, biotechnology, and artificial intelligence (AI) to create more eco-friendly and efficient drug production processes. Nature remains a vast source of bioactive compounds, with plants, microbes, and marine organisms offering promising therapeutic potential. Advances in synthetic biology, CRISPR gene editing and metabolic engineering enable the sustainable synthesis of natural compounds, reducing reliance on resource-intensive extraction methods. In addition, green chemistry techniques, such as biocatalysis and supercritical fluid extraction, minimize hazardous waste and lower energy consumption. AI and machine learning accelerate drug discovery by efficiently identifying novel compounds, reducing the need for traditional, time-consuming experimental methods. However, the shift to sustainable pharma faces challenges, including ethical concerns over bioprospecting, conservation efforts, and fair benefit-sharing of biodiversity resources. As industries and policymakers increasingly focus on sustainability, the pharmaceutical sector is poised to embrace greener practices, ensuring both human health advancements and environmental protection. This paper explores the transformative potential of green pharmaceuticals and their role in shaping a sustainable future for medicine.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.