Psoriasis is a chronic, systemic, immune-mediated inflammatory disease that affects the skin. Existing therapies for psoriasis have adverse effects, underscoring the need for new, more effective therapeutic approaches. Network pharmacology, an emerging interdisciplinary field, offers a novel approach to understanding the complex interactions between drugs and disease targets, particularly in the context of Traditional Chinese Medicine (TCM) for complex diseases such as psoriasis. This review explores the pathways and mechanisms underlying TCM’s efficacy in treating psoriasis, as revealed by network pharmacology. A literature search was conducted using online databases, including PubMed, Scopus, and Web of Science, to identify relevant published articles on the application of network pharmacology in TCM for psoriasis. The literature was filtered to include only articles published from 2020 to 2024, with free full text and only English articles. This research summarises 28 TCM types studied for psoriasis using in silico, in vivo, and in vitro methods. The primary targets of TCM in psoriasis treatment were IL-17, TNF, MAPK, Th17 cell differentiation, NF-κB, PI3K-Akt, JAK-STAT, and VEGF signalling pathways. Network pharmacology on TCM has elucidated the multi-target approach to psoriasis treatment. Exploration of other traditional medicines and therapies should be investigated to improve treatment outcomes.