Synergistic Phytochemicals in Multi-Target Drug Discovery for Complex Diseases: A Narrative Review

Single-target pharmaceutical treatments generally fail to address the complex pathophysiology of chronic illnesses such as cancer, cardiovascular disorders, diabetes, and neurodegeneration. These conditions are prone to medication resistance and treatment-related toxicity, underscoring the need for approaches that simultaneously activate multiple biological processes while minimizing undesirable effects. This study examines the therapeutic potential of phytochemicals as multi-target drugs, and evaluates current advancements in drug design, delivery methods, and toxicology for clinical use. A narrative review methodology was employed. Literature was gathered from PubMed, Scopus, Web of Science, and Google Scholar, emphasizing research published between 2013 and 2024. The Scopus Boolean search syntax was: TITLE-ABS-KEY(("phytochemical*" OR "plant bioactive*" OR "plant-derived compound*" OR "phytomedicine" OR "herbal medicine" OR "natural product*" OR "medicinal plant*") AND ("multi-target" OR "polypharmacology" OR "network pharmacology" OR "molecular docking" OR "drug synergy" OR "synergistic effect*") AND ("cancer" OR "cardiovascular disease*" OR "neurodegenerative disease*" OR "diabetes" OR "autoimmune disease*")). This yielded approximately 3,847 initial results, refined to ∼1,200 documents after applying quality, language, and journal filters. Search terms included: phytochemicals, synergistic effects, network pharmacology, molecular docking, nanotechnology-based drug delivery, and toxicological profiling. Peer-reviewed original studies, systematic reviews, and meta-analyses were included. Both in vitro and in vivo studies were incorporated. Phytochemicals exhibit synergistic pharmacological effects, enabling superior therapeutic outcomes at lower doses. Modern drug delivery systems, notably nanoparticles and liposomes, dramatically improve bioavailability and tissue targeting, with several formulations demonstrating clinical promise. Computational techniques including chemoinformatics, molecular docking, and network pharmacology facilitate polypharmacological target identification. However, significant challenges remain: lack of standardization, safety concerns (particularly with pyrrolizidine alkaloids and aristolochic acids), and limited clinical validation. Phytochemicals possess the potential to address complicated, drug-resistant illnesses through multiple molecular targets. Their effective clinical translation depends on advanced formulation technologies, rigorous toxicity screening, and the synthesis of traditional knowledge with modern biomedical methods. Future research must prioritize standardized protocols and robust clinical trials.

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Publication Details

Journal
Phytomedicine Plus
Published
2026-05-01
DOI
https://doi.org/10.1016/j.phyplu.2026.100995
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Synergistic Phytochemicals in Multi-Target Drug Discovery for Complex Diseases: A Narrative Review

Joseph Obiezu Chukwujekwu Ezeonwumelu, Ugwu Melvin Nnaemeka, Val Hyginus Udoka Eze, Anyanwu Chinyere Nkemjika et al.
Phytomedicine Plus
Computational Drug Discovery Methods
article

Synergistic Phytochemicals in Multi-Target Drug Discovery for Complex Diseases: A Narrative Review

Joseph Obiezu Chukwujekwu Ezeonwumelu, Ugwu Melvin Nnaemeka, Val Hyginus Udoka Eze, Anyanwu Chinyere Nkemjika, Ugwu Okechukwu Paul-Chima, Ogenyi Fabian C, Ugwu Chinyere N, Okon Michael Ben, Mariam Basajja, Alum Esther Ugo, Onohuean Hope, Samanya Bulhan, Uti Daniel Ejim, Swase Dominic Terkimbi, Ugwu Jovita Nnenna, Egba Simeon Ikechukwu
article en

Abstract

Single-target pharmaceutical treatments generally fail to address the complex pathophysiology of chronic illnesses such as cancer, cardiovascular disorders, diabetes, and neurodegeneration. These conditions are prone to medication resistance and treatment-related toxicity, underscoring the need for approaches that simultaneously activate multiple biological processes while minimizing undesirable effects. This study examines the therapeutic potential of phytochemicals as multi-target drugs, and evaluates current advancements in drug design, delivery methods, and toxicology for clinical use. A narrative review methodology was employed. Literature was gathered from PubMed, Scopus, Web of Science, and Google Scholar, emphasizing research published between 2013 and 2024. The Scopus Boolean search syntax was: TITLE-ABS-KEY(("phytochemical*" OR "plant bioactive*" OR "plant-derived compound*" OR "phytomedicine" OR "herbal medicine" OR "natural product*" OR "medicinal plant*") AND ("multi-target" OR "polypharmacology" OR "network pharmacology" OR "molecular docking" OR "drug synergy" OR "synergistic effect*") AND ("cancer" OR "cardiovascular disease*" OR "neurodegenerative disease*" OR "diabetes" OR "autoimmune disease*")). This yielded approximately 3,847 initial results, refined to ∼1,200 documents after applying quality, language, and journal filters. Search terms included: phytochemicals, synergistic effects, network pharmacology, molecular docking, nanotechnology-based drug delivery, and toxicological profiling. Peer-reviewed original studies, systematic reviews, and meta-analyses were included. Both in vitro and in vivo studies were incorporated. Phytochemicals exhibit synergistic pharmacological effects, enabling superior therapeutic outcomes at lower doses. Modern drug delivery systems, notably nanoparticles and liposomes, dramatically improve bioavailability and tissue targeting, with several formulations demonstrating clinical promise. Computational techniques including chemoinformatics, molecular docking, and network pharmacology facilitate polypharmacological target identification. However, significant challenges remain: lack of standardization, safety concerns (particularly with pyrrolizidine alkaloids and aristolochic acids), and limited clinical validation. Phytochemicals possess the potential to address complicated, drug-resistant illnesses through multiple molecular targets. Their effective clinical translation depends on advanced formulation technologies, rigorous toxicity screening, and the synthesis of traditional knowledge with modern biomedical methods. Future research must prioritize standardized protocols and robust clinical trials.

Phytomedicine Plus
Enugu State University of Science and Technology (NG), University of Applied Sciences Leiden (NL), Kampala International University (UG)
Zero hunger
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
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