When Global Consensus Meets Health Systems Reality: Implementing Traditional,Complementary,and Integrative Medicine

Over the past decade, traditional, complementary, and integrative medicine (TCIM) has gained unprecedented visibility within global health policy. Rather than being framed solely as a matter of cultural practice or individual preference, TCIM is increasingly understood as a relevant component of people-centered, sustainable, and resilient health systems. This shift has been strongly supported by the strategic work of the World Health Organization, which has systematically documented the widespread use of TCIM across Member States and articulated principles for its safe, effective, and equitable integration into health systems.^1,2 The WHO global report on traditional and complementary medicine and successive WHO strategies have provided an important foundation by acknowledging both the opportunities and the responsibilities that accompany integration.

The recently adopted Global Traditional Medicine Strategy 2025–2034 further consolidates this trajectory by placing explicit emphasis on strengthening evidence, reinforcing regulatory frameworks, and embedding TCIM within national health systems in ways that align with universal health coverage. ³ In parallel, the establishment of dedicated institutional structures, including the WHO Global Traditional Medicine Center, signals a long-term commitment to advancing data, evidence, innovation, sustainability, and equity in this field.^4,5 Together, these developments reflect a broad and growing global consensus: TCIM matters for health systems, and its integration should be deliberate, accountable, and informed by evidence.

At the same time, translating global consensus into routine health-systems practice remains a complex undertaking. Endorsement at the international level does not automatically translate into consistent, high-quality service delivery at national or local levels. This is not unique to TCIM; it is a familiar challenge across many domains of health policy and innovation. ⁶ In the context of TCIM, however, this challenge is accentuated by the diversity of interventions, regulatory traditions, professional roles, and cultural contexts involved. The resulting implementation gap should therefore not be understood as a deficit or shortcoming, but as a natural development task inherent to the maturation of TCIM within complex health systems.

From a health-systems perspective, integration is not a single decision or event. It is a multi-layered process that affects clinical workflows, referral pathways, professional boundaries, documentation practices, reimbursement mechanisms, and quality-assurance structures. Successful integration depends not only on whether an intervention shows benefit under controlled conditions, but also on whether it can be delivered safely, consistently, and acceptably in routine care. These considerations sit squarely within the domain of implementation science, which has long emphasized that evidence alone is rarely sufficient to change practice and that context matters profoundly for uptake and sustainability.^6,7

One recurring challenge is that integration initiatives are sometimes approached primarily as policy commitments rather than as complex interventions requiring structured implementation planning. Established implementation science frameworks provide practical tools to address this complexity by systematically identifying determinants that influence success across different levels of the health system. The Consolidated Framework for Implementation Research, for example, synthesizes constructs related to the intervention, the inner and outer setting, the individuals involved, and the implementation process itself.^7,8 Applying such frameworks does not imply skepticism toward TCIM; rather, it reflects a commitment to ensuring that integration efforts are robust, transparent, and fit for real-world conditions.

Closely related to this is the question of how evidence is operationalized in integration decisions. WHO strategies consistently emphasize evidence-informed decision-making while recognizing the specific characteristics of TCIM, including complex interventions and culturally embedded practices.^2,3 At the level of national health systems, this requires explicit and transparent approaches to evidence thresholds, uncertainty, and learning over time. Integration is rarely a binary judgement of “effective” versus “ineffective.” More often, it involves conditional inclusion, monitoring, and iterative refinement as additional data become available. With a thoughtful implementation, this shifts the conversation from “Does it work?” to “For whom, in what settings, at what cost can it work, and is it sustainable?” Framing evidence in this way aligns with broader movements toward learning health systems and supports responsible integration without lowering scientific standards.

Measurement and visibility within routine data systems play a central role in this process. Health systems are better able to govern, improve, and sustain services that can be systematically documented and evaluated. WHO’s work on health classifications provides important infrastructure in this regard. The inclusion of traditional medicine conditions in an optional separate chapter of ICD-11 was explicitly designed to support standardized documentation and analysis, rather than to make claims about effectiveness. ⁹ Similarly, the International Classification of Health Interventions encompasses traditional medicine interventions, enabling their systematic recording across settings. ¹⁰ Such classification systems can be understood as enablers of transparency and accountability: they allow health systems to observe what is being delivered, to whom, and with what outcomes.

Beyond documentation, implementation science highlights the importance of distinguishing clinical outcomes from implementation outcomes. Characteristics such as acceptability, feasibility, fidelity, penetration, and sustainability are critical to understanding whether integration efforts are likely to achieve meaningful and lasting impact. ¹¹ This distinction is particularly relevant for TCIM, where promising clinical effects alone do not guarantee adoption or routine use. An intervention that is effective but incompatible with clinical workflows, unacceptable to patients or (more commonly) to professionals, or structurally not reimbursable is unlikely to contribute to population health without systematic planning and careful groundwork.

Frameworks that emphasize reach, adoption, and maintenance alongside effectiveness further support a health-systems perspective on integrating TCIM in health care. The RE-AIM framework, for example, highlights the importance of population reach and sustainability for public health impact.^12,13 Complementary theoretical perspectives such as Normalization Process Theory draw attention to the everyday work required to embed new practices into routine care, including sense-making, engagement, collective action, and reflexive monitoring. ¹⁴ These dimensions resonate strongly with the experiences of initiatives for integrating TCIM in health care, where success often depends on whether interdisciplinary teams perceive TCIM as legitimate, workable, and aligned with patient needs and professional values.

Importantly, the growing emphasis on implementation is not occurring in isolation. Research funders and institutions increasingly recognize that implementation science is essential for translating evidence into practice, including in the field of TCIM. The U.S. National Center for Complementary and Integrative Health has explicitly highlighted implementation science as a priority for improving the adoption of evidence-based TCIM interventions. ¹⁵ Scholarly contributions within the TCIM literature similarly underscore the need to align research designs with health-system realities and decision-making contexts. ¹⁶

Looking ahead, responsible integration of TCIM can be supported by early investment in measurement and learning systems; proportionate and transparent regulation of products, practices, and practitioners; context-sensitive evidence standards; and the deliberate alignment of effectiveness and implementation research. Equity and cultural legitimacy should be treated not as rhetorical aspirations but as practical design constraints, ensuring that integration strengthens, rather than fragments, health systems and contributes to fair access to safe and appropriate care.

Seen in this light, advancing the translation of global consensus into health-systems practice is not about questioning the legitimacy of TCIM in health systems but about fulfilling its promise. Global strategies have laid essential groundwork by articulating shared principles and priorities. The task now is to operationalize these principles within diverse health-system contexts, using established tools from implementation science, health-services research, and systems thinking. If integration is approached as a shared learning process—supported by global leadership and grounded in local implementation expertise—it can strengthen health systems as a whole and contribute to their ongoing transformation toward more responsive, accountable, and sustainable models of care.