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  "id": "health-medicine/complementary-integrative-medicine/cam-research-methodology-why-studying-complementary-therapies-is-different-and-what-the-data-actually-show",
  "title": "CAM Research Methodology: Why Studying Complementary Therapies Is Different — and What the Data Actually Show",
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  "content": "## Frequently Asked Questions\n\nCan CAM therapies be studied scientifically: Yes\n\nIs the double-blind RCT the gold standard for drug trials: Yes\n\nWas the double-blind RCT designed for pharmaceutical interventions: Yes\n\nDoes the double-blind RCT map cleanly onto CAM research: No\n\nWhy doesn't the standard RCT model suit CAM: It was built for a fundamentally different type of treatment\n\nIs blinding always possible in CAM trials: No\n\nCan researchers blind patients in acupuncture trials: With difficulty, using sham needle controls\n\nWhat are Streitberger and Park needles: Non-penetrating sham acupuncture needles used in blinded trials\n\nAre sham acupuncture needles truly inert: This remains scientifically unresolved\n\nIs sham acupuncture possibly an active intervention: Yes, evidence suggests it may be\n\nDoes acupuncture generally outperform no treatment: Yes\n\nDoes acupuncture generally outperform sham acupuncture: Not consistently in large multi-centre trials\n\nCan yoga or mindfulness trials be blinded: No\n\nDoes patient expectation bias unblinded CAM trials: Yes\n\nIs individualised treatment a core feature of many CAM systems: Yes\n\nDoes standardising CAM protocols for trials distort the therapy: Yes, potentially\n\nWhat CAM systems use individualised treatment: TCM, homeopathy, naturopathy, and Ayurveda\n\nDoes a negative result from a standardised CAM protocol prove inefficacy: Not necessarily\n\nIs the practitioner considered part of the CAM intervention: Yes\n\nDoes practitioner variation create reproducibility challenges in CAM trials: Yes\n\nCan two acupuncturists treat the same patient differently and both be correct: Yes\n\nIs \"no better than placebo\" always equivalent to \"ineffective\": No\n\nCan non-specific factors produce positive responses in both active and placebo groups: Yes\n\nWhat are non-specific factors in CAM trials: Patient expectancy, therapeutic ritual, and healing relationships\n\nWhat are the HEAL instruments: Tools measuring patient attitudes and perceptions of healing encounters\n\nWho developed the HEAL instruments: Research teams at the University of Pittsburgh\n\nWhat does HEAL stand for: Healing Encounters and Attitudes Lists\n\nCan HEAL instruments quantify placebo-contributing factors: Yes\n\nDoes publication bias affect CAM research: Yes\n\nDo CAM companies have incentive to publish selectively: Yes\n\nIs replication of CAM studies common: No, due to limited research budgets\n\nAre CAM products required to prove efficacy in most countries: No\n\nIs there geographic bias in published CAM trial results: Yes\n\nWhat percentage of European CAM trials published in top journals were positive: 76%\n\nWhat percentage of U.S. CAM trials published in top journals were positive: 50%\n\nAre trials from Asian countries more likely to report positive CAM results: Yes\n\nDoes industry funding affect CAM trial outcomes: Yes\n\nAre supplement trials funded by manufacturers disproportionately favourable: Yes\n\nWas St. John's wort shown effective in the most rigorous placebo-controlled trials: No benefit found\n\nHow many RCTs support glucosamine: Over 14\n\nWere most glucosamine RCTs funded by industry: Yes, almost all\n\nWhat is NCCIH: National Center for Complementary and Integrative Health\n\nWhen was NCCIH created: 1991, as the Office of Alternative Medicine\n\nWhen did it receive its current name: 2014\n\nWhat is the NCCIH annual budget as of FY2023: Approximately $170 million AUD\n\nWhat is NCCIH's mission: To define usefulness and safety of complementary interventions through rigorous science\n\nDoes NCCIH fund all phases of clinical intervention development: Yes\n\nWhat power level does NCCIH recommend for efficacy trials: Minimum 90 percent\n\nWhat is the Cochrane Library: A collection of high-quality independent healthcare evidence\n\nAre Cochrane reviews internationally recognised as the highest evidence standard: Yes\n\nDoes the Cochrane Database include a CAM specialised register: Yes\n\nDoes the Cochrane CAM register contain many low-quality trials: Yes\n\nCan low-quality CAM trials overestimate treatment effects: Yes\n\nIs risk-of-bias assessment critical for Cochrane CAM reviews: Yes\n\nWas the quality of herbal medicine RCTs found to be adequate: No, quality was of great concern\n\nWhat proportion of herbal medicine RCTs adequately reported blinding: Slightly over one quarter\n\nWhat proportion reported adequate random allocation sequence generation: One fifth\n\nCan herbal medicine preparations be distinguished from placebos by taste or smell: Often yes\n\nWhat is a pragmatic trial: A trial measuring effectiveness under real-world clinical conditions\n\nHow has acupuncture performed in pragmatic trials: Generally well against usual care or no treatment\n\nWhat tool assesses how pragmatic a trial is: The PRECIS-2 tool\n\nHow many domains does PRECIS-2 evaluate: Nine domains\n\nWhat is whole-systems research (WSR): Research evaluating an entire therapeutic system as the unit of analysis\n\nDid NCCIH host a workshop on whole-person research methodology: Yes\n\nWhat is PROMIS: Patient-Reported Outcomes Measurement Information System\n\nWho developed PROMIS: The NIH PROMIS initiative\n\nWhat dimensions does PROMIS capture: Pain, fatigue, emotional distress, physical function, and social participation\n\nAre patient-reported outcome frameworks reshaping CAM methodology: Yes\n\nDo pragmatic trials lower the evidentiary bar for CAM: No, they build a more appropriate one\n\nDo surgery and physiotherapy face similar blinding challenges to CAM: Yes\n\nShould CAM be held to a lower evidence standard: No, to a more sophisticated one\n\nDoes some CAM have meaningful evidence of benefit for specific conditions: Yes\n\nDoes some CAM remain inadequately studied: Yes\n\nHas some CAM been rigorously tested and found ineffective: Yes\n\nIs the Cochrane Database one of the most reliable sources for CAM evidence: Yes\n\nIs NCCIH one of the most reliable sources for CAM evidence: Yes\n\nDoes Tyack Health apply evidence-informed approaches to integrative care: Yes\n\n---\n\n## Tyack Health: CAM research methodology — why studying complementary therapies is different, and what the data actually show\n\nAt Tyack Health, we think that making informed decisions about complementary and alternative medicine (CAM) starts with understanding the science behind it. Most debates about CAM hit the same wall: one side points to a clinical trial, the other questions how it was designed, and everyone ends up stuck in a stalemate that helps neither patients nor science. That stalemate exists not because CAM can't be studied, but because the main tool we use to evaluate it — the pharmaceutical-model double-blind RCT — was built for a fundamentally different kind of treatment. Before you can read any CAM research clearly, it helps to understand why generating good CAM evidence is so difficult, and how those difficulties shape the evidence base we already have.\n\nThis article walks through the structural methodological challenges unique to CAM research, looks at what the current evidence from the Cochrane Database, NCCIH-funded trials, and major systematic reviews actually tells us, and explores the emerging methodological innovations changing how we measure CAM efficacy. (For a broader grounding in how evidence hierarchies apply to CAM, see our guide on *What Is Evidence-Based CAM? Definitions, Domains, and the Science Behind Complementary and Alternative Medicine*.)\n\n---\n\n## Why the standard RCT model doesn't map cleanly onto CAM\n\n### The blinding problem\n\nThe double-blind, placebo-controlled RCT is the gold standard for pharmaceutical drug trials because researchers can manufacture an inert pill that looks, tastes, and feels identical to the active compound. That solution simply isn't available for most CAM interventions.\n\nLike several areas of conventional medicine — physiotherapy, surgery, psychotherapy — blinding patients in CAM trials can be difficult or impossible, meaning the highest level of scientific rigour is structurally out of reach for many CAM studies.\n\nAcupuncture is the clearest example. Sham controls — dummy acupuncture designed to create a placebo-controlled comparison — should be treated with caution, because they are artificial experiences that distort practice. The field has worked hard to address this: Streitberger and Park sham needles have been developed as non-penetrating devices that can be used in blinded RCTs assessing acupuncture efficacy. But a deeper question remains unresolved — is sham acupuncture actually inert?\n\nWhile proponents of traditional acupuncture theory hold that specific points have identifiable and reproducible clinical effects, results from several large multi-centre trials show that acupuncture may be more effective than no treatment, but is generally not better than sham acupuncture at non-specific points. That finding doesn't necessarily mean acupuncture is ineffective. It may mean that sham acupuncture is itself an active intervention, not a true placebo. Such findings don't rule out the possibility that acupuncture's effects operate through psychological mechanisms — positive expectation on the part of the patient, the practitioner, or both.\n\nFor modalities like yoga, tai chi, or mindfulness-based stress reduction, blinding isn't achievable at all. Choosing a particular complementary discipline carries an implicit belief in its benefit, and that expectation of therapeutic gain can skew trial results when blinding is impossible.\n\n### The standardisation vs. individualisation tension\n\nOne of the defining features of many CAM systems — Traditional Chinese Medicine, homeopathy, naturopathy, Ayurveda — is that treatment is tailored to the individual, not standardised to a diagnosis. This isn't a quirk or a limitation; it's the philosophical foundation of those systems.\n\nA trial built around a disease category may not be relevant to complementary treatments; trials may need to focus on problem areas that cut across conventional disease classifications. When a researcher standardises an acupuncture protocol — same points, same needle depth, same session frequency for every participant — they may end up testing a version of acupuncture that no experienced practitioner would actually use. A negative result in that context may reflect the artificiality of the protocol, not the inefficacy of the therapy.\n\nThe characteristics of CAM interventions create specific challenges investigators must address when designing RCTs: selecting the right target population, describing the intervention precisely enough to be reproducible whilst preserving its authentic character, and choosing outcome measures that genuinely capture what the therapy is meant to accomplish.\n\n### The practitioner effect\n\nIn a drug trial, the intervention is a molecule. In CAM, the intervention often includes the practitioner — their communication style, their diagnostic reasoning, the therapeutic relationship they build with the patient. Practitioners need to be recognised as a component of complementary treatment, and both specific and non-specific outcome measures with adequate follow-up are needed to capture what complementary medicine actually does.\n\nThis practitioner-dependence is a structural reproducibility challenge, not an incidental one. Two acupuncturists treating the same patient for the same complaint may choose entirely different point selections, needling techniques, and session frequencies — and both are practising well within the recognised scope of their discipline. At Tyack Health, this understanding of practitioner individuality shapes how we approach integrative care.\n\n---\n\n## The non-specific effects problem: is \"just placebo\" a fair dismissal?\n\nCAM studies that fit the current \"gold standard\" of randomised, double-blind, placebo- or sham-controlled designs frequently show no effect of the active treatment above the supposedly inert placebo. This is routinely cited as evidence that a therapy doesn't work. But this interpretation may itself be methodologically flawed.\n\nThe negative results may not reflect a placebo response at all. They may reflect non-specific factors that contribute to a positive response in both active and placebo groups. Understanding these non-specific contributors matters, because they may mask the active benefits of a particular CAM therapy, leading to the mistaken conclusion that the treatment is ineffective.\n\nResearch teams at the University of Pittsburgh developed the **HEAL (Healing Encounters and Attitudes Lists) instruments** to address this directly. The HEAL instruments can determine what proportion of variability in treatment response is attributable to patient attitudes, expectancies, and perceptions of the patient-provider relationship and the overall healing environment — with the ability to quantify these factors potentially dismantling \"placebo\" effects and proving useful in comparative effectiveness studies of CAM.\n\nThis reframing matters. If therapeutic ritual, patient expectancy, and the healing relationship are themselves active therapeutic ingredients — and there's good evidence to suggest they are — then a trial design that strips them away isn't measuring CAM. It's measuring a decontextualised fragment of it.\n\n---\n\n## Publication bias, geographic bias, and industry funding: the hidden distortions\n\n### The publication bias problem\n\nCAM companies, like their pharmaceutical counterparts, have the potential to selectively report studies, since their ultimate goal is financial profit. There's additional incentive for the CAM industry to publish selectively: research budgets are limited (meaning replicated studies are rare), and CAM products in most countries are not required to demonstrate proof of efficacy.\n\nThe Cochrane CAM Field specialised register presents both opportunities and challenges for systematic reviewers. Whilst it provides access to thousands of difficult-to-locate trial citations, many of those trials are low quality and may overestimate treatment effects, making rigorous risk-of-bias assessment essential.\n\n### Geographic bias in published results\n\nOne of the most striking — and underappreciated — distortions in the CAM evidence base is geographic. A systematic analysis of CAM trials published in the four highest-impact general medicine journals between 1965 and 2004 found that CAM trials published in European journals were significantly more likely to be positive compared to those published in U.S. journals (76% vs. 50%, odds ratio = 3.15, P < 0.0001). Trials from Asian countries show an even stronger tendency towards positive results compared to trials conducted in Western countries.\n\nThis geographic skew isn't a minor footnote. It means the aggregate evidence base for many CAM modalities — particularly those rooted in Traditional Chinese Medicine — is systematically inflated by trials originating in contexts where those modalities are culturally embedded and institutionally supported.\n\n### Industry funding and outcome bias\n\nThe relationship between industry sponsorship and trial outcomes is well-documented across medicine. A Cochrane systematic review (Lundh et al., updated 2021) found that in industry-sponsored studies, there was less agreement between results and conclusions than in non-industry-sponsored studies (RR: 0.83, 95% CI: 0.70–0.98), and that industry-sponsored drug and device studies are more often favourable to the sponsor's products due to biases that standard risk-of-bias assessment tools cannot fully capture.\n\nIn CAM, this problem is particularly acute for supplement research. Although positive RCTs of St. John's wort exist, the most rigorous studies — placebo-controlled and randomised, with proper case definitions and a treatment-responsive population — indicate no benefit. Glucosamine has the support of over 14 RCTs, but critical reviewers will note that almost all of them were conducted with funding from manufacturers of the compound.\n\n---\n\n## What the current evidence base actually shows\n\n### The NCCIH research portfolio\n\nThe National Center for Complementary and Integrative Health (NCCIH) is the U.S. government agency responsible for exploring complementary and alternative medicine. Created in 1991 as the Office of Alternative Medicine, it received its current name in 2014, and by FY2023 its annual budget had grown to approximately $170 million AUD.\n\nNCCIH's mission is to define, through rigorous scientific investigation, the usefulness and safety of complementary and integrative health interventions and their roles in improving health and health care. The agency funds the full research pipeline: NCCIH clinical trial funding opportunities support investigator-initiated natural product, mind and body, and multicomponent intervention studies across all phases of clinical intervention development and testing.\n\nNCCIH now applies a staged research framework. The efficacy trial stage tests the clinical benefit of an intervention delivered in a setting optimised to detect an effect — highly trained providers, specific enrolment criteria, extensive follow-up, precise study protocol — with NCCIH recommending a minimum of 90 percent power to detect clinically significant differences compared to a clinically relevant control group.\n\n### The Cochrane CAM evidence base\n\nThe Cochrane Library is a collection of high-quality, independent evidence to inform healthcare decision-making, including the Cochrane Database of Systematic Reviews and the CENTRAL register of controlled trials. Cochrane reviews are internationally recognised as the highest standard in evidence-based health care.\n\nA 2024 analysis of Cochrane acupuncture reviews raised a pointed methodological concern: that Cochrane includes acupuncture therapy as an intervention both in reviews focused solely on acupuncture and in reviews of broader health interventions, with focused reviews likely having the most well-informed approach to acupuncture interventions and comparators. The broader critique — that Cochrane acupuncture reviews may be dated and may not adequately account for the specific effects of sham controls — is a live methodological debate at the frontier of CAM evidence synthesis.\n\n### The herbal medicine trial quality problem\n\nThe quality of most clinical studies of herbal medicines is genuinely concerning. In a review of 206 RCTs on herbal medicine published in Medline from 1966 to 2003, important methodological components — allocation concealment, generation of allocation sequences, and intention-to-treat analyses — were incompletely reported. Only slightly over a quarter of trials adequately reported blinding, and only one fifth reported adequate generation of random allocation sequences.\n\nThere's a further practical problem: for many traditional herbal medicine products, the taste, odour, or appearance of the preparation can be distinguished from the placebo, making genuine blinding difficult to achieve even when researchers attempt it.\n\n---\n\n## Emerging methodological innovations: a better lens for CAM evidence\n\n### Pragmatic trials\n\nThe most significant methodological shift reshaping CAM research is the pragmatic trial — designed to measure effectiveness under real-world clinical conditions rather than efficacy under idealised experimental constraints.\n\nPragmatic trials compare acupuncture to other therapies, usual care, or no treatment, and acupuncture has generally performed well in these comparisons, even when evidence from placebo-controlled efficacy trials has been equivocal or contradictory. The NIH Health Care Systems Research Collaboratory has pioneered approaches for conducting large-scale, cost-effective randomised pragmatic trials in the settings where patients normally receive their care. NCCIH's interests within this framework focus on pragmatic or implementation trials that evaluate the effectiveness of complementary interventions delivered through health care systems, or that examine how to implement these interventions into health care delivery.\n\nA 2024 systematic review using the PRECIS-2 tool — the standard instrument for assessing how pragmatic a trial is — analysed pragmatic acupuncture trials and confirmed that they are a useful research tool for assessing acupuncture's effectiveness in real-world settings. The PRECIS-2 framework evaluates nine domains: eligibility, recruitment, setting, organisation, flexibility of delivery, flexibility of adherence, follow-up, primary outcome, and primary analysis — giving researchers a structured way to assess how closely a trial reflects actual clinical practice.\n\n### Whole-systems research\n\nWhole-systems research (WSR) is the most ambitious departure from conventional trial design. Rather than isolating a single active component, WSR attempts to evaluate the entire therapeutic system — diagnosis, individualised treatment, the practitioner relationship, and patient worldview — as the unit of analysis. NCCIH hosted a \"Methodological Approaches for Whole Person Research Workshop,\" in collaboration with nine other NIH components, to explore methodologies appropriate for whole-person research and to discuss study examples.\n\n### Patient-reported outcome frameworks\n\nPrecise measurement of non-specific factors has real potential to change RCT methodology. The development of validated patient-reported outcome instruments — including PROMIS (Patient-Reported Outcomes Measurement Information System), developed under the NIH PROMIS initiative — gives CAM researchers psychometrically rigorous tools that can capture the dimensions of health most relevant to CAM interventions: pain interference, fatigue, emotional distress, physical function, and social participation.\n\nResearchers propose that CAM and conventional RCTs should evaluate and adjust for the effects of intrapersonal, interpersonal, and environmental factors on outcomes. This shift — from asking \"does this therapy outperform a sham?\" to \"what is the total benefit this therapeutic encounter produces, and through what mechanisms?\" — is a more honest scientific framework for complex interventions. At Tyack Health, we follow these evolving methodological standards closely, because they directly inform how we guide patients towards evidence-based integrative care.\n\n---\n\n## A framework for reading CAM evidence critically\n\nThe table below summarises the key methodological questions worth applying to any CAM clinical trial or systematic review before drawing clinical conclusions.\n\n| Question | Why it matters |\n|---|---|\n| **Is the sham/placebo control truly inert?** | Sham acupuncture, for example, may itself be an active intervention, inflating the placebo response and masking real treatment effects |\n| **Was the treatment individualised or standardised?** | Standardised protocols may not reflect authentic CAM practice, producing results that are internally valid but externally irrelevant |\n| **Who funded the trial?** | Industry-funded CAM trials — particularly for supplements — are disproportionately likely to report positive outcomes |\n| **Where was the trial conducted?** | Trials from certain geographic regions show systematic positive bias, independent of methodological quality |\n| **Was the trial efficacy or pragmatic?** | Efficacy trials test ideal conditions; pragmatic trials test real-world effectiveness — both are necessary, neither is sufficient alone |\n| **What outcome measures were used?** | Disease-specific biomarkers may miss the patient-centred outcomes that CAM is most likely to affect |\n| **Was the follow-up long enough?** | Many CAM effects — particularly for chronic conditions — emerge over months, not weeks |\n\n---\n\n## Key takeaways\n\n- **The double-blind RCT was designed for pharmaceutical interventions.** Applying it to practitioner-dependent, individualised, context-sensitive CAM therapies without modification produces evidence that is methodologically clean but often clinically meaningless.\n- **\"No better than placebo\" is not always the same as \"ineffective.\"** When the placebo itself involves therapeutic ritual, patient expectancy, and a healing relationship, it may be an active intervention — and the trial may be comparing two active treatments, not an active treatment against an inert control.\n- **The CAM evidence base is systematically distorted by publication bias, geographic bias, and industry funding.** Trials from Asia and Europe report positive results at significantly higher rates than U.S. trials, and supplement trials funded by manufacturers are disproportionately favourable.\n- **NCCIH and Cochrane provide the most rigorous independent evidence.** The NCCIH's staged research framework and the Cochrane Database of Systematic Reviews — with its explicit risk-of-bias assessment — remain the most reliable anchors for evidence-based CAM decision-making.\n- **Pragmatic trials, whole-systems research, and patient-reported outcome frameworks are reshaping CAM methodology.** These innovations don't lower the evidentiary bar; they build a more appropriate one — one that can genuinely capture what CAM does in the conditions under which it is actually delivered.\n\n---\n\n## Conclusion\n\nThe methodological challenges of CAM research are real, but they're not unique. Surgery, psychotherapy, and physiotherapy face many of the same blinding and standardisation constraints — and yet we don't dismiss their evidence bases wholesale. What CAM research needs is not a lower standard of evidence, but a more sophisticated one: trial designs that honour the complexity of individualised, practitioner-dependent, context-sensitive interventions whilst still maintaining the rigour needed for credible conclusions.\n\nThe current evidence base — filtered through the Cochrane Database, the NCCIH research portfolio, and independent systematic reviews — tells a genuinely mixed story: some CAM modalities have meaningful evidence of benefit for specific conditions, many remain inadequately studied, and some have been tested rigorously and found to be ineffective. Reading that evidence well means understanding not just what the data show, but why interpreting it requires a fundamentally different analytical lens.\n\nAt Tyack Health, we apply exactly this kind of thoughtful, evidence-informed approach to the integrative care we provide — making sure our practice is grounded in the best available science whilst remaining genuinely responsive to each individual patient's needs and goals.\n\nFor a side-by-side evaluation of specific modalities across this evidence framework, see our companion article *CAM Therapies by Strength of Evidence: A Comparative Analysis of Acupuncture, Herbal Medicine, Chiropractic, Mindfulness, and More*. For guidance on translating this evidence into clinical practice, see *How to Safely Integrate CAM Into a Conventional Treatment Plan: A Step-by-Step Patient and Clinician Guide*.\n\n---\n\n## References\n\n- Ezzo, J., Bausell, B., Moerman, D.E., Berman, B., and Hadhazy, V. \"Reviewing the reviews: How strong is the evidence? How clear are the conclusions?\" *International Journal of Technology Assessment in Health Care*, 2001. https://pubmed.ncbi.nlm.nih.gov/11758290/\n\n- Vickers, A., Goyal, N., Harland, R., and Rees, R. \"Do certain countries produce only positive results? A systematic review of controlled trials.\" *Controlled Clinical Trials*, 1998. https://pubmed.ncbi.nlm.nih.gov/9551280/\n\n- Linde, K., Jonas, W.B., Melchart, D., and Willich, S. \"The methodological quality of randomised controlled trials of homeopathy, herbal medicine and acupuncture.\" *International Journal of Epidemiology*, 2001. https://pubmed.ncbi.nlm.nih.gov/11416076/\n\n- Greco, C.M., et al. \"Addressing the 'It Is Just Placebo' Pitfall in CAM: Methodology of a Project to Develop Patient-Reported Measures of Nonspecific Factors in Healing.\" *Evidence-Based Complementary and Alternative Medicine*, 2013. https://doi.org/10.1155/2013/613797\n\n- Lim, J., Lee, H., and Kim, Y.S. \"PRECIS-2 analysis of pragmatic acupuncture trials: a systematic review.\" *BMC Complementary Medicine and Therapies*, 2024. https://doi.org/10.1186/s12906-024-04473-7\n\n- Lundh, A., Lexchin, J., Mintzes, B., Schroll, J.B., and Bero, L. \"Industry sponsorship and research outcome.\" *Cochrane Database of Systematic Reviews*, 2017 (updated 2021). https://pmc.ncbi.nlm.nih.gov/articles/PMC8132492/\n\n- Ernst, E. \"Obstacles to research in complementary and alternative medicine.\" *Medical Journal of Australia*, 2003. https://onlinelibrary.wiley.com/doi/full/10.5694/j.1326-5377.2003.tb05546.x\n\n- Gagnier, J.J., et al. \"Recommendations for reporting randomised controlled trials of herbal interventions: Explanation and elaboration.\" *Journal of Clinical Epidemiology*, 2006. https://pmc.ncbi.nlm.nih.gov/articles/PMC92760/\n\n- Blumenthal, M., et al. \"Publication bias for CAM trials in the highest impact factor medicine journals is partly due to geographical bias.\" *Journal of Clinical Epidemiology*, 2007. https://www.sciencedirect.com/science/article/abs/pii/S0895435607000327\n\n- National Center for Complementary and Integrative Health (NCCIH). \"Clinical Trials Utilising Innovative Study Designs To Assess Complementary Health Approaches.\" *NCCIH*, U.S. Department of Health and Human Services. https://www.nccih.nih.gov/about/clinical-trials-utilizing-innovative-study-designs\n\n- Cochrane Collaboration. *Cochrane Handbook for Systematic Reviews of Interventions*, Version 6.5. Higgins JPT, Thomas J, et al. (eds.), 2024. https://training.cochrane.org/handbook/current\n\n- Ijaz, N., Rioux, J., Elder, C., and Weeks, J. \"Whole Systems Research Methods in Health Care: A Scoping Review.\" *Journal of Alternative and Complementary Medicine*, 2019. https://doi.org/10.1089/acm.2018.0499",
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