• Trupti Sukhadev Warghat
• Dr. V.N. Deshmukh

Anxiety disorders represent a significant global health concern, with millions affected by conditions such as generalized anxiety disorder, panic disorder, and social anxiety disorder. The development of effective anxiolytic agents has proven challenging due to the complex nature of anxiety and the limitations of current pharmacological treatments. This review explores the various experimental models used in the screening of anxiolytic activity, highlighting the strengths and weaknesses of traditional models, including the elevated plus maze (EPM) and light-dark box (LDB), as well as more recent advancements in technology and methodology. The future of anxiolytic screening is moving towards multi-omics approaches, humanized models, virtual reality (VR), and artificial intelligence (AI), which offer greater precision and relevance to human anxiety responses. These innovations promise not only to improve the understanding of the underlying biomolecular mechanisms but also to pave the way for more personalized treatment strategies. Additionally, the exploration of natural products and traditional medicines for anxiolytic properties is becoming increasingly important, offering a potential avenue for drugs with fewer side effects. The integration of these diverse strategies into anxiolytic research will ultimately contribute to the development of more effective, safer, and individualized treatments for anxiety disorders

Anxiolytic Agents, Experimental Models ,Elevated Plus Maze (EPM) Light-Dark Box (LDB), Multi-Omics Approaches, Humanized Models Virtual Reality (VR), Artificial Intelligence (AI)

"“Experimental Models for Screening Anxiolytic Activity”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.i537-i550, April-2025, Available :http://www.jetir.org/papers/JETIR2504872.pdf

"“Experimental Models for Screening Anxiolytic Activity”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppi537-i550, April-2025, Available at : http://www.jetir.org/papers/JETIR2504872.pdf