Journal of Pharmacreations

Analysis of the Analgesic Effects of Jasminum Multiflorum and Jasminum Sambac Formulations in Experimental Mice

2026-04-11T12:26:04+00:00

The present study was undertaken to evaluate the analgesic potential of JM15 (Jasminummultiflorum) and JS25 (Jasminumsambac) formulations using the hot plate method in mice. Both formulations were prepared using successive solvent extraction and supercritical fluid extraction (SFE) techniques to enrich bioactive phytoconstituents. Analgesic activity was assessed by measuring latency to nociceptive response and percentage inhibition of pain threshold. Both formulations significantly increased pain threshold compared to the control group (p < 0.001), with JS25 demonstrating superior efficacy comparable to the standard formulation. The results suggest that Jasminum-derived phytochemicals, particularly flavonoids and lactones, may exert central analgesic effects through modulation of nociceptive pathways.

Artificial Intelligence in Drug Discovery and Development: Current Status, Challenges and Future Prospects

2026-04-24T09:26:34+00:00

The review article examines the transformative influence of Artificial Intelligence (AI) in redefining the paradigms of drug discovery and pharmaceutical development. It explores how progressive innovations in AI methodologies including Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Reinforcement Learning (RL), Graph Neural Networks (GNN), and Generative AI are being strategically harnessed to address critical bottlenecks in the drug development continuum. Key areas of focus include target identification, lead molecule exploration, rational drug design, optimization strategies, and clinical trial orchestration. The review highlights AI's potential to revolutionize the pharmaceutical landscape by expediting drug discovery trajectories and curtailing the costs associated with introducing novel therapeutic entities.

Artificial Intelligence and Machine Learning in Modern Pharmacy

2026-04-24T09:32:59+00:00

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative tools in the field of modern pharmacy. They offer new possibilities in drug discovery, precision medicine, patient care, and pharmaceutical research. AI algorithms can process massive datasets, identify hidden patterns, and support decision-making, while ML models continuously improve their performance through experience. This review explores the current applications, benefits, and limitations of AI and ML in pharmacy, with a focus on their impact on drug development, disease prediction, and personalized treatment. The paper also highlights ongoing challenges and future directions in integrating these technologies into clinical and research settings.

Fabrication and Evaluation of Herbal Soap Using Tomato, Aloe Vera, and Turmeric

2026-05-15T06:00:39+00:00

Background: Herbal cosmetics are increasingly preferred owing to their biocompatibility, minimal side effects, and therapeutic benefits. Soap remains one of the most widely used personal care products globally. The incorporation of plant based bioactive ingredients can enhance the functional and medicinal properties of soap formulations. Objective: This study aimed to formulate and evaluate herbal soap using tomato (Solanum lycopersicum), aloe vera (Aloe barbadensis Miller), and turmeric (Curcuma longa) extracts as active ingredients, with a focus on physicochemical properties, antimicrobial activity, and skin compatibility. Methods: Three formulations (F1, F2, F3) were prepared using the cold process saponification method with varying concentrations of tomato extract (5%, 10%, 15%), fixed concentrations of aloe vera gel (5%) and turmeric extract (1%, 2%, 3%). Formulations were evaluated for organoleptic properties, pH, moisture content, total fatty matter, foam height and stability, dirt dispersion, saponification value, skin irritation, and antimicrobial activity using agar well diffusion method. Results: All formulations exhibited satisfactory physicochemical parameters within accepted pharmacopoeial limits. Formulation F3, containing the highest concentrations of tomato (15%) and turmeric (3%) extracts, demonstrated superior foam stability (18 ± 0.8 min), lowest moisture content (11.2%), and the largest zones of inhibition against Staphylococcus aureus (18 ± 0.6 mm), Escherichia coli (16 ± 0.4 mm), Candida albicans (14 ± 0.5 mm), and Pseudomonas aeruginosa (13 ± 0.3 mm). None of the formulations induced skin irritation during patch testing. Conclusion: The herbal soap formulations prepared from tomato, aloe vera, and turmeric possess promising physicochemical, antimicrobial, and skin friendly properties. F3 was identified as the optimum formulation. These plant derived soaps offer a safe, cost effective, and eco-friendly alternative to synthetic commercial soaps.