The inherent instability of deep coal rock masses and coal-rock composite bearing structures significantly contributes to coal rock dynamic disasters in mines. An experimental investigation into the dynamic response behavior of composite coal-rock was carried out by conducting impact loading experiments using a separated Hopkinson pressure bar system with a 50 mm diameter. The study analyzed the effects of factors like strain rate (A: 50–350 s−1), lateral confining pressure (B: 4–16 MPa), and compression ratio (C: 1–4). Subsequently, a response surface experimental design with three factors and levels was developed using Design Expert12 software to analyze the impacts of individual factors and factor interactions on dynamic compressive strength σ and energy consumption rate k. Finally, a superposition damage constitutive model was formulated based on principles such as superposition theory and Weibull distribution. The results indicate that the mechanical properties of coal rock are notably affected by both individual factors and the interaction between factors. Specifically, the influence of single factors on σ and k follows the order A>C>B, while the impact of factor interactions on σ is ranked as AC>AB>BC, and on k as AB>AC>BC. The coal components within composite coal rock primarily undergo shear failure, leading to the development of macroscopic cracks in regions with lower ratios of rock components. Furthermore, the strength distribution of ternary composite coal rock demonstrates regional characteristics. The strength hierarchy of composite coal rock, from lowest to highest, follows this sequence: coal component non-interface area, coal component interface area, low component rock interface area, low component rock non-interface area, high component rock interface area, and high component rock non-interface area. The developed damage constitutive model effectively portrays the dynamic response relationship of composite coal rock, demonstrating a fitting coefficient of at least 0.97 between the theoretical and experimental curves. These research findings offer valuable insights for investigating the phenomenon of dynamic and static load superposition in the mining face during operations and for disaster prevention and control.