Yaoxue Xuebao

Submission On

( Vol 60 , Issue 04 ) |

27 Dec 2025
Day
Hour
Min
Sec
Publish On

( Vol 60 , Issue 04 ) |

31 Dec 2025
Scopus Indexed (2026) scopus
ABCD Indexed (2025) scopus
scopus

Yaoxue Xuebao

Yaoxue Xuebao (ISSN:0513-4870) is a monthly peer-reviewed scopus-indexed journal from 1960, from 1962 to 1966, from 1979 to Present. The publisher of this journal is Chinese Pharmaceutical Association. Yaoxue Xuebao committed to gathering and disseminating excellent research achievements. The journal welcomes all kind of research/review/abstract papers regarding Pharmacology, Toxicology and Pharmaceutics, General Pharmacology and Toxicology and Pharmaceutics Biochemistry, Genetics and Molecular Biology and Molecular Medicine and so on.

Aim And Scope

Yaoxue Xuebao

Pharmacology

Toxicology and Pharmaceutics

General Pharmacology

Toxicology and Pharmaceutics Biochemistry

Genetics and Molecular Biology

Molecular Medicine

Latest Journal

Yaoxue Xuebao

Research progress in drug carriers across the blood-brain barrier

The bloodstream and the central nervous system (CNS) are separated by the blood–brain barrier (BBB), an intricate network of blood vessels. Its main role is to regulate the environment within the brain. The primary obstacle for drugs to enter the CNS is the low permeability of the BBB, presenting a significant hurdle in treating brain disorders. In recent years, significant advancements have been made in researching methods to breach the BBB. However, understanding how to penetrate the BBB is essential for researching drug delivery techniques. Therefore, this article reviews the metho

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Establishment and application of a cell-based high-throughput screening model for TMPRSS2 inhibitors

The cell adhesion between leukocytes and endothelial cells plays an important balanced role in the pathophysiological function, while excessive adhesion caused by etiological agents is associated with the occurrence and development of many acute and chronic diseases. Cell adhesion inhibitors have been shown to have a potential therapeutic effect on these diseases, therefore, efficient and specific inhibitors against cell adhesion are highly desirable. Here, using lipopolysaccharide-induced human umbilical vein endothelial cells (HUVECs) and calcein-AM-labeled human monocytic cell THP-1, we

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Research progress on local anesthetic drug delivery systems based on covalent modification strategies

Local anesthetics (LAs) have been indispensable in clinical pain management, yet their limitations, such as short duration of action and systemic toxicity, necessitate improved delivery strategies. Hydrogels, with their biocompatibility, tunable properties, and ability to modulate drug release, have been extensively explored as platforms for enhancing LA efficacy and safety. This narrative review explores the historical development of LAs, their physicochemical properties, and clinical applications, providing a foundation for understanding the integration of hydrogels in anesthetic delivery

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Study on multi-component contents of Jinqi Jiangtang Capsule

Natural deep eutectic solvents (NADESs), composed of natural primary metabolites, are now widely used as green and sustainable extraction solvents of bioactive components. In the present study, various NADESs were prepared to extract multi-components from different preparations of an herbal formula (Chinese name: Jinqi Jiangtang, JQJT) using ultrasound-assisted extraction (UAE). Results showed that most prepared NADESs provided more effective extraction of phenolic acids and alkaloids from JQJT preparations than conventional solvents. Among the tested NADESs, the solvent formed by choline c

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Analysis of the proposal application and funding of National Natural Science Foundation of China in the field of synthetic medicinal chemistry in 2023

The discovery and advances of medicines may be considered as the ultimate relevant translational science effort that adds to human invulnerability and happiness. But advancing a fresh medication is a quite convoluted, costly, and protracted operation, normally costing USD ~2.6 billion and consuming a mean time span of 12 years. Methods to cut back expenditure and hasten new drug discovery have prompted an arduous and compelling brainstorming exercise in the pharmaceutical industry. The engagement of Artificial Intelligence (AI), including the deep-learning (DL) component in particular, has

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