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Estimating the extent of adulteration of the popular herbs black cohosh, echinacea, elder berry, ginkgo, and turmeric - its challenges and limitations.

Nilüfer OrhanStefan GafnerMark Blumenthal
Published in: Natural product reports (2024)
Covering: up to July 2023Botanical natural medicinal products and dietary supplements are utilized globally for their positive impacts on health and wellness. However, the effectiveness and safety of botanical products can be compromised by unintentional or intentional adulteration. The presence of adulterated botanical ingredients in the global market has been documented in the published literature but a key question, namely what the extent of adulteration is, remains to be answered. This review aims to estimate the prevalence of adulteration in preparations made from black cohosh rhizome, echinacea root or herb, elder berry, ginkgo leaf, and turmeric root/rhizome. According to the information provided in the 78 publications retrieved for this paper, 818 of 2995 samples were reported to be adulterated and/or mislabeled. Ginkgo leaf samples ( n = 533) had the highest adulteration rate with 56.7%, followed by black cohosh rhizome ( n = 322) samples with 42.2%, echinacea root/herb ( n = 200) with 28.5%, elder berry ( n = 695) with 17.1%, and turmeric root/rhizome ( n = 1247) with 16.5%. Products sold as licensed or registered herbal medicines were found to have a lower risk of adulteration compared to products sold as dietary/food supplements. The data show that the adulteration rate substantially differs from one ingredient to the other. Due to the significant limitations of the available data upon which the estimated extent of adulteration is based, and the rapidly changing botanical dietary supplement market, conclusions from the five herbs examined in this publication cannot be applied to other botanicals traded in the global market. However, the data clearly show that a substantial portion of the botanical dietary supplements do not contain what is claimed on their labels.
Keyphrases
  • electronic health record
  • health insurance
  • healthcare
  • systematic review
  • public health
  • mental health
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  • risk factors
  • machine learning
  • data analysis
  • human health