Diabetic heart disease (DHD) is a major contributor to global cardiovascular morbidity, driven by a complex interplay of metabolic, inflammatory, oxidative, and fibrotic mechanisms. These interconnected pathways are not fully addressed by current cardiometabolic therapies, highlighting the need for novel multi-target interventions. Cannabidiol (CBD), a non-psychoactive phytocannabinoid, has emerged as a potential modulator of several key processes implicated in DHD pathogenesis. Preclinical evidence demonstrates that CBD attenuates oxidative stress by reducing reactive oxygen species (ROS) production, suppresses nuclear factor-κB (NF-κB)-mediated inflammatory signaling, preserves endothelial function by improving nitric oxide (NO) bioavailability, and inhibits transforming growth factor-β (TGF-β)-driven fibrotic remodeling. These effects have been observed across in vitro and in vivo models of diabetic cardiomyopathy, where CBD improves both myocardial and vascular function. Mechanistically, CBD exerts its actions through negative allosteric modulation of CB₁ receptors and interaction with non-cannabinoid targets, including transient receptor potential vanilloid 1 (TRPV1), peroxisome proliferator-activated receptor gamma (PPARγ), and G protein-coupled receptor 55 (GPR55). Despite this robust preclinical foundation, clinical evidence supporting the efficacy of CBD in DHD remains limited. Existing human studies are largely restricted to non-diabetic populations or short-term metabolic and hemodynamic outcomes, and do not address disease-specific cardiac endpoints. Furthermore, translational challenges, including variability in dosing, product standardization, and potential drug-drug interactions, remain significant barriers to clinical implementation. Collectively, CBD represents a promising investigational candidate with multi-target potential to modulate the core pathophysiology of DHD. However, well-designed, disease-specific clinical trials are required to establish its therapeutic relevance and safety in diabetic populations.