Herbal food supplements are commonly used and can be an important part of patient self-care. Like all other bio-active and therapeutic products, they have a benefit/risk balance. These products are not without adverse effects and potentially interact with other therapies. Educating patients and providing information for health professionals about the risk of herb–drug interactions is key. One of the purposes of the biomedical literature is to inform prescribers. Scientific literature accessible on databases such as PubMed is dense and careful reading is time consuming. We propose a reading aid tool named “HDI highlighter” to help readers to find key information in clinical studies and case reports describing herb–drug interactions. It uses natural language processing algorithms (artificial intelligence) with a pharmaceutical focus. Semantic relation extraction for herb–drug interactions from the biomedical literature are overexpressed using keywords. We have tested it to review 120 published articles over the last 10 years. In these articles, we have shown that case reports often involved long-term or semi-long-term treatments such as cancer or human immunodeficiency virus therapies, antiepileptic drugs, or central nervous system drugs. Similarly, these classes of drugs are more extensively targeted by clinical studies. Herb–drug interactions described in case reports are identified in medicinal, recreational, and alimentary uses. They also usually lack a rigorous description of the herb(s) involved. Typically, clinical studies provide a complete description of protocols and dosages, with a few exceptions explained by patients’ needs. Clinical studies on herbs are nevertheless conducted on a limited number of patients. All these limitations make the interpretation of herb–drug interactions complicated, but the HDI highlighter provides a quick overview of the herb–drug interaction literature.

草药食品补充剂很常用，可以成为患者自我护理的重要组成部分。与所有其他生物活性和治疗产品一样，它们具有利益/风险平衡。这些产品并非没有副作用，并且可能与其他疗法相互作用。对患者进行教育并向卫生专业人员提供有关草药与药物相互作用风险的信息是关键。生物医学文献的目的之一是为处方者提供信息。PubMed 等数据库中的科学文献非常丰富，仔细阅读非常耗时。我们提出了一种名为“HDI荧光笔”的阅读辅助工具，帮助读者找到描述草药与药物相互作用的临床研究和病例报告中的关键信息。它使用以制药为重点的自然语言处理算法（人工智能）。使用关键词过度表达生物医学文献中草药与药物相互作用的语义关系提取。我们对其进行了测试，审查了过去 10 年发表的 120 篇文章。在这些文章中，我们表明病例报告通常涉及长期或半长期治疗，例如癌症或人类免疫缺陷病毒治疗、抗癫痫药物或中枢神经系统药物。同样，这些类别的药物也更广泛地成为临床研究的目标。病例报告中描述的草药与药物的相互作用已在医疗、娱乐和食品用途中得到证实。他们通常也缺乏对所涉及草药的严格描述。通常，临床研究会提供方案和剂量的完整描述，但也有少数例外情况是根据患者的需求进行解释的。然而，草药的临床研究仅针对有限数量的患者进行。所有这些限制使得草药与药物相互作用的解释变得复杂，但 HDI 荧光笔提供了草药与药物相互作用文献的快速概述。