ArticleInternational journal of plant, animal and environmental sciences2025
Plants, Pills, and the Brain: Exploring Phytochemicals and Neurological Medicines.
Article in International journal of plant, animal and environmental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Silymarin reverses post-traumatic stress-induced memory impairment in mice by containment of oxidative stress, cholinergic dysfunction, and modulation of neuronal caspase-3 expression.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Limitations of Current Therapies and Barriers in Alzheimer's Disease.Archives of internal medicine research · 2026Article
- Wogonin-mediated modulation of cellular signaling pathways: Mechanistic insights into neuroprotection.Molecular biology reports · 2026Review
- Evidence-Based Interventions for Functional Restoration and Pain Management following Traumatic Brain Injury.Archives of clinical and medical case reports · 2026Article
- NLRP3 Inflammasome Activation in Oxidative Stress: A Key Mechanism Driving Neuroinflammation.Neuroimmunomodulation · 2026Review
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
Abstract
Neurological disorders, such as Alzheimer's disease, Parkinson's disease, epilepsy, spinal cord injuries, and traumatic brain injuries, represent substantial global health challenges due to their chronic and often progressive nature. While allopathic medicine offers a range of pharmacological interventions aimed at managing symptoms and mitigating disease progression, it is accompanied by limitations, including adverse side effects, the development of drug resistance, and incomplete efficacy. In parallel, phytochemicals-bioactive compounds derived from plants-are receiving increased attention for their potential neuroprotective, antioxidant, and anti-inflammatory properties. This review will explore the therapeutic landscape of neurological diseases by providing a comprehensive overview of prevalent conditions and the current allopathic treatments available. Furthermore, this review will investigate specific phytochemicals, including flavonoids, alkaloids, and terpenoids, that exhibit promise in modulating various disease pathways. Emphasis will be placed on the interactions between plant-derived compounds and prescription medications, highlighting both potential synergistic effects and possible adverse interactions. A thorough understanding of these interactions is essential for the development of integrative treatment approaches that enhance therapeutic efficacy while minimizing harm. By bridging traditional herbal medicine with contemporary pharmacotherapy, this review aims to promote a more holistic perspective on the management of neurological diseases, while also encouraging further research into safe and effective combinatory therapies.
Indexed as
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What OpenQuestion 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 OpenQuestion graph.