Cyber-Physical-Social Systems (CPSS) bring together an assortment of resources from the physical network, cyberspace, and the social sphere. These systems rely on communication, computation, and control infrastructures, which usually comprise several tiers across the three realms, utilizing diverse resources such as sensors, actuators, computational resources, services, and human involvement. The proficient interaction of these resources is critical for the operational efficacy of cyber-physical-social systems. CPSS exhibits resource constraints, openness, and uncertainty, resulting in high uncertainty in its services, including quality of service (QoS) provision and significant security risks. Consequently, an efficient and dependable service composition approach is crucial when dealing with complex service requirements. Furthermore, preference learning plays a pivotal role in enhancing user experiences. Trust is viewed as a barrier to the integration of social attributes among smart objects, which is essential for forming reliable social connections and delivering dependable services. This review offers an in-depth analysis of trustworthiness management within Cyber-Physical Social Systems (CPSS).