Background and objective: In the present article the effects of drug binding (both specific and nonspecific) in the porous arterial wall following stent-based drug delivery from drug-eluting stents (DES s) are investigated. A three-phase (free, extracellular matrix-bound, and specific receptor-bound) second-order nonlinear saturable reversible binding model is considered in order to describe the binding process with the constituents of the porous arterial wall. Although, there are currently some precise forms of a drug binding model in the arterial tissue in the literature, analyzed by various authors. The specific interest in this present context is in assessing to what extent modelling of specific and nonspecific binding within a single-layered homogeneous porous arterial wall is possible. A novel axi-symmetric model of drug delivery from three stent struts has been developed and is presented. Methods: The governing equations of motion together with the physiologically realistic boundary conditions are tackled numerically by an explicit finite-difference scheme in staggered grids. Results: Results include the influence of the significant model parameters, such as Peclet numbers (Pe T , Pe 1 and Pe 2), Damköhler numbers (Da 1 and Da 2) and time-dependent release kinetics as well as constant release kinetics. Consistency of the proposed approach is shown graphically. Conclusions: As the porosity (ε w) increases, the effective as well as the true diffusivity increases, which eventually leads to expedition of the diffusion process. In a porous media, diffusion takes place in confined tortuous pores and its progression is impeded as the tortuosity increases. The present simulation also demonstrates a decrease in the mean concentration of free as well as extracellular matrix-bound and SR-bound drug with increasing tortuosity. The present observation may be justified in the sense that as the tortuosity increases so too does the effective distance over which diffusion has to take place (i.e. the progression of diffusion is impeded, which eventually lowers the mean concentration of all drug forms).