Background Neuroinflammation plays a critical role in the progression of neurological disorders such as Alzheimer’s and Parkinson’s diseases, as well as chronic pain. It is characterized by elevated production of pro-inflammatory cytokines, including IL-6, and TNF-α, by microglia, the resident immune cells of the central nervous system. Emerging research highlights the involvement of the endocannabinoid system (ECS) in neuroinflammation, proposing cannabinoids as potential therapeutic agents owing to their immunosuppressive and anti-inflammatory properties. Methods This study used an in vitro model, specifically the BV-2 murine microglial cell line, to assess neuroinflammation. Cell viability was measured using the MTT assay, and cytokine production was quantified using advanced nanobiosensor technologies, including Surface Plasmon Resonance (SPR). Immunocytochemistry (ICC) was used to evaluate protein expression. Microglial cells were treated with varying concentrations of dexamethasone sodium phosphate (Dex-SP), cannabidiol (CBD), a full-spectrum tetrahydrocannabinol (FSE-THC) extract (70% THC), or a combination of the two at a 1:1 ratio (FSE-THC/CBD). Results The treatments did not affect BV-2 microglial cell viability. Nitric oxide (NO) production remained unaltered following treatment with Dex-SP, CBD, FSE-THC 70%, or FSE-THC:CBD in LPS-stimulated BV-2 microglia. However, CBD and FSE-THC:CBD significantly reduced TNF-α levels, whereas Dex-SP and CBD decreased IL-6 expression. Furthermore, Dex-SP, CBD, FSE-THC (70%), and FSE-THC:CBD modulated the activation of Bcl-2, Bax, TNF-α, IFN-γ, NF-κB, and iNOS in concentration- and treatment-specific manners. Conclusions Dex-SPs demonstrate acute anti-inflammatory effects in LPS-stimulated BV2 microglial cells. Specific cannabinoids at particular concentrations exhibit comparable or superior efficacy in modulating key inflammatory mediators. These findings suggest the therapeutic potential of cannabinoids in neuroinflammation, and emphasize the need for further investigation to optimize their application.