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The pharmaceutical industry is entering a period of accelerated digital transformation, driven by real-time sensing, automation, digital twins, advanced analytics, and connected healthcare technologies. Yet this transformation remains uneven across the pharmaceutical value chain. Manufacturing systems, quality systems, distribution infrastructures, and patient-facing technologies often evolve as separate digital domains rather than as components of one connected cyber-physical enterprise. This fragmentation limits the capacity of pharmaceutical organizations to use data as a continuous operational resource. A manufacturing line may generate rich process data, a quality system may generate release decisions, a distribution network may generate environmental and traceability records, and a connected device may generate adherence or use data, but these signals are rarely integrated into a unified architecture. As a result, the industry remains only partially able to close the loop between product design, production, delivery, use, and real-world performance. The objective of this article is to propose an integrated cyber-physical system architecture that links pharmaceutical manufacturing, quality control, distribution, and patient use into a coherent technical framework. The proposed architecture treats the pharmaceutical product not only as a manufactured physical object but also as a data-linked therapeutic system. In this view, quality, traceability, and patient performance are co-produced through connected material, digital, and process flows. The article develops a systems-architecture perspective rather than an empirical study. It synthesises peer-reviewed literature on Pharma 4.0, continuous manufacturing, process analytical technology, digital twins, real-time release, blockchain traceability, cold-chain monitoring, smart packaging, connected drug delivery devices, and digital adherence monitoring. These domains are integrated into a four-layer architecture that connects factory operations to patient-facing use environments. The proposed framework defines four architectural layers: manufacturing, quality control, distribution, and patient use. It then specifies the data, material, and process flows required to connect these layers into a continuous cyber-physical loop. Five tables are used to clarify the architecture problem, the manufacturing layer, the patient-use layer, the end-to-end flows, and the proposed integrated architecture. A pharmaceutical cyber-physical system spanning from raw material to patient outcome represents a potential next frontier in drug product quality, supply chain resilience, and personalised therapy. Such a system would require coordinated action across manufacturers, technology providers, healthcare systems, regulators, and patients. Its value lies not only in automation, but in the creation of a connected pharmaceutical enterprise capable of learning from every stage of the product lifecycle.