To tackle this, we first need to be precise about what we are discussing. CAM is not a monolith. As the National Cancer Institute distinguishes, “complementary” approaches are used alongside standard medical care, while “alternative” approaches are used instead of it. That distinction can have serious consequences, yet the internet rarely respects it. A single online forum can seamlessly blend helpful symptom-management advice with culturally grounded wellness practices, aggressively marketed supplements, and baseless promises of a cure. The core problem facing patients isn’t simply choosing “CAM versus medicine.” It is making sense of mixed claims, mixed evidence, and mixed motives.

This isn’t a fringe issue. While estimates vary, a study published in JAMA Oncology reported that roughly one-third of recently diagnosed cancer patients used some form of CAM, and many did not disclose this use to their physicians. CAM-related information needs are a recurring part of the modern cancer information environment.

Because of this, we have to treat CAM information as a public knowledge issue, not just an individual health literacy failing. In a networked society, public knowledge isn’t handed down solely by gatekeepers; it is shaped by algorithms that reward engagement. If a survivor sees the same herbal supplement praised in a Facebook support group, highlighted in a YouTube short, forwarded by an aunt, and summarized by a generative AI tool, that claim begins to feel familiar. Over time, familiarity can begin to feel like credibility.

For underserved communities, this dynamic is even more fraught. When reliable, evidence-based health information isn’t available in a patient’s native language or does not respect their cultural context, people naturally turn to community spaces where they feel heard. These spaces offer vital emotional support, but they are also vulnerable to commercial exploitation and unverified claims. We shouldn’t blame communities for seeking answers where they feel welcome. Instead, we must ask why our formal, trustworthy systems so frequently fail to meet them there.

This is exactly why the World Health Organization’s concept of the “infodemic“, an overabundance of both accurate and misleading information, is so difficult to combat. You cannot simply “debunk” your way out of a networked information crisis. Patients aren’t just rationally sorting fact from fiction; they are navigating environments where emotion, repetition, and social connection shape what feels true.

Generative AI can thicken the fog. While AI tools can helpfully simplify medical jargon for overwhelmed patients, they can also make uncertain science sound more settled than it really is. A fluent, AI-generated summary of an alternative therapy might omit the nuances of dosage, population differences, or dangerous interactions with chemotherapy.

So, where do information professionals go from here?

First, we need to stop viewing our role as simple fact-checkers and start building better pathways to public knowledge. Libraries and health organizations must co-create bilingual, plain-language resources that don’t just dictate what works, but explain how we know it works.

Second, we have to play the network game. If health claims thrive on social media and messaging apps, trustworthy information must be designed to travel those same roads. A perfectly cited, peer-reviewed PDF buried on a hospital website has little public value if no one can find it. We need easily shareable explainers, community-vetted handouts, and digital resources designed for visibility.

The future of trustworthy health information relies on understanding how knowledge becomes public. If dubious health claims are traveling faster than clinical evidence, information professionals must step up to help evidence-based information travel further, faster, and with more empathy.