Ke-Xin Zhu1,2
Min Wu1,2
Zhi-Lin Bian1,2Shi-Liang Han1,2
Li-Ming Fang1,2
Feng-Feng Ge1,2
Xue-Zhou Wang3*
Sheng-Fang Xie1,2*- 1Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- 2Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- 3International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
Introduction: Despite the clinical value of Chinese herbal medicine (CHM), restricted comprehension of its toxicity limits the secure and efficacious application. Previous studies primarily focused on exploring specific toxicities within CHM, without providing an overview of CHM’s toxicity. The absence of a quantitative assessment of focal points renders the future research trajectory ambiguous. Therefore, this study aimed to reveal research trends and areas of concern for the past decade.
Methods: A cross-sectional study was conducted on publications related to CHM and toxicity over the past decade from Web of Science Core Collection database. The characteristics of the publication included publication year, journal, institution, funding, keywords, and citation counts were recorded. Co-occurrence analysis and trend topic analysis based on bibliometric analysis were conducted on keywords and citations.
Results: A total of 3,225 publications were analyzed. Number of annal publications increased over the years, with the highest number observed in 2022 (n = 475). The Journal of Ethnopharmacology published the most publications (n = 425). The most frequently used toxicity classifications in keywords were hepatotoxicity (n = 119) or drug-induced liver injury (n = 48), and nephrotoxicity (n = 40). Co-occurrence analysis revealed relatively loose connections between CHM and toxicity, and their derivatives. Keywords emerging from trend topic analysis for the past 3 years (2019–2022) included ferroptosis, NLRP3 inflammasome, machine learning, network pharmacology, traditional uses, and pharmacology.
Conclusion: Concerns about the toxicity of CHM have increased in the past decade. However, there remains insufficient studies that directly explore the intersection of CHM and toxicity. Hepatotoxicity and nephrotoxicity, as the most concerned toxicity classifications associated with CHM, warrant more in-depth investigations. Apoptosis was the most concerned toxicological mechanism. As a recent increase in attention, exploring the mechanisms of ferroptosis in nephrotoxicity and NLRP3 inflammasome in hepatotoxicity could provide valuable insights. Machine learning and network pharmacology are potential methods for future studies.
1 Introduction
Herbal medicine is derived from traditional medical systems and serves as an extensively employed complementary therapy in clinical practice (Barnes et al., 2016). Particularly, Chinese herbal medicine (CHM) stands as a representative within this domain, boasting a long historical lineage and even contributed China’s first Nobel Prize in natural sciences (Tu, 2016). Evidence supports the protentional efficacy of CHM in treating cardiovascular (Hao et al., 2017), nephritic (Zhong et al., 2015), immunologic (Jakobsson et al., 2022) and cancer-related disorders (Yao et al., 2021). As one of the most prevalent herbal medicines, CHM is exported to over 175 countries and regions (Teng et al., 2016). Despite these promising prospects, similar to other herbal remedies, CHM encounters the hurdle of toxicity. The toxicity of CHM typically presents as hepatotoxicity and nephrotoxicity (Ekor, 2014), which are the leading causes of drug development failure or market withdrawal (Hoppmann et al., 2020; Kulkarni, 2021). Given the World Health Organization’s prioritization of drug safety (Donaldson et al., 2017), emphasizing the toxicity of CHM becomes imperative.
The underestimation of the toxicity of CHM is a longstanding issue. The prescription of CHM under the guidance of traditional toxicity theory is frequently considered to be completely safe. Following the first discovery of severe toxic aristolochic acids in some Chinese herbs (Vanhaelen et al., 1994), many toxic components were determined (Lv et al., 2012). However, before the prohibition of these CHMs and synthetic drugs by countries (Hashimoto et al., 1999; Lee et al., 2002; Gabardi et al., 2007; Zhou et al., 2013), the associated herbs had been used for thousands of years. Astonishingly, the modern toxicity of some CHMs contradicts the traditional theory. For instance, Aristolochia manshuriensis Kom was traditionally believed to possess diuretic properties for treating kidney disease but was proven to be nephrotoxic and carcinogenic (Wang L. et al., 2018). Recent studies revealed that the toxicity of certain CHMs were quite complex, particularly in terms of hepatotoxicity. The toxicity of these herbs exhibits a dose-independent pattern and displays significant inter-individual variability across different populations (Ma et al., 2023). In addition, the lack of quality control measures during production and sales exacerbates the risks associated with toxicity (Raynor et al., 2011; Liu et al., 2015). Such concerns prompted regulatory bodies including the Food and Drug Administration (FDA) to only approve limited CHMs (Qu et al., 2022; You et al., 2022).
Fortunately, the toxicity of CHM garnered increased attention in recent years, with various safety regulatory standards, clinical practice guidelines and manifestos highlighting the urgency of this issue (Yang et al., 2022). However, existing studies mainly focused on specific toxicities, resulting in a lack of overview to the overall safety of CHM. Additionally, there are still gaps in understanding the actual incidence rate and specific mechanisms (Teschke et al., 2014; Yang et al., 2018; Wang et al., 2022). Therefore, to provide a comprehensive understanding of the toxicity of CHM and identify potential avenues for future research, this cross-sectional study aimed to reveal research trends and areas of concern for the past decade through bibliometric analysis.
2 Materials and methods
2.1 Data collection
This study included publications concerning the toxicity of CHM, and were published between 2013 and 2022. The search was conducted by the Web of Science Core Collection (WOS) database using the following strategy:
#1 TS= “toxicity” OR “toxicology” OR “nephrotoxicity” OR “hepatotoxicity” OR “drug-induced injury” OR “cardiotoxicity” OR “neurotoxicity” OR “ototoxicity” OR “hematotoxicity” OR “immunotoxicity”.
#2 TS= “traditional Chinese medicine” OR “Chinese herbal” OR “Chinese herb”.
#3 FPY = 2013–2022.
#1 AND #2 AND #3.
An additional search was conducted within the CNKI database to examine the distinctions in publication characteristics across databases. The search strategy used for the CNKI database is provided in the Supplementary Material.
2.2 Analysis
After obtaining the data of all publications, basic characteristics including title, publication year, author, author’s keyword, institution, funding agency and citation were counted. VOSviewer (version 1.6.19), Bibliometrix package of R (version 4.3.0) and Citespace (version 5.7. R5) software were used for visualized analysis (van Eck and Waltman, 2010). Bibliographic coupling analysis with timeline was performed in influential journals. Influential journals were defined as the top 25 journals (≥5 publications on this field per journal) with the most cite frequency by the included publications. Evaluation of hotspot and trend was conducted by co-occurrence analysis and trend topic analysis based on author’s keywords. Co-occurrence analysis was conducted on the 40 keywords of the most records, with varied colors showing the trends over time. Additional co-occurrence analysis was conducted on countries with more than 10 publications for exploring the cooperation between individual countries. Trend topic analysis was conducted on the 3 independent emerging keywords each year, with the duration of the hot topic. In trend topic analysis, keywords lasted for more than 5 years were defined as long-term concerned keywords, while the ones with the duration less than 2 years were defined as short-term concerned keywords. Co-occurrence analysis and trend topic analysis are complementary. The former selects the term of analysis by keyword frequency, which can show the connection between keywords, but may mask the recent emerging keywords. Trend topic analysis does not have the ability to show connections, but can better detect the potential hotspots. Citation burst analysis was conducted to discern emergent citations.
3 Results
The initial search yielded 3,242 records, and 17 of them were excluded for reasons including languages other than English (n = 12), retracted publication (n = 3) and correction (n = 2). A total of 3,225 publications were included in the analysis, with 2,413 articles, 785 reviews, 12 meeting abstracts, 11 editorial materials and 4 letters.
3.1 Basic characteristics
From 2013 to 2022, with the exception of a slight decline in 2016 (n = 246), annual publications were increased by the year (Figure 1). The number of publications reached its highest in 2022 (n = 475). As showing in Table 1, the top 5 productive journals in this field were Journal of Ethnopharmacology (n = 425), Frontiers in Pharmacology (n = 226), Evidence-Based Complementary and Alternative Medicine (n = 138), Molecules and Phytomedicine (n = 76). Beijing University of Chinese Medicine (n = 187) contributed the most publications. National Natural Science Foundation of China (n = 1,489) is the agency that supported the most publications in this field. The top 5 institutions and funding agencies were all Chinese. Table 2 displays the leading 5 authors alongside their respective h-index values, representing the individuals with the highest number of publications. Xiao-He, Xiao had the most publications and the highest h-index among the authors listed. Figure 2 delineates the publication volume and cooperative connections among countries. China stands out as the most prolific region (n = 2,793), exhibiting collaboration primarily with the United States and Germany.
FIGURE 1. Number of annal publications on the toxicity of Chinese herbal medicine.
TABLE 1. Top 5 productive journals, institutions and funding agencies.
TABLE 2. Top 5 productive authors.
FIGURE 2. Co-occurrence analysis of countries. Countries with more than 10 publications were included. N indicates the number of publications. The thickness of the lines in the visualization indicates the frequency of co-occurrence between elements.
3.2 Most cited publications and journals
Table 3 lists the 10 most cited publications, with 9 reviews and 1 research article. The publication entitled “The growing use of herbal medicines: issues relating to adverse reactions and challenges in monitoring safety (Ekor, 2014)” got the most citations (1,416 citations). Within these 10 publications, 8 were contributed by Chinese researches, 5 were published on the aforenamed top 5 journals. None was published on multidisciplinary journals. Figure 3 shows the temporal burst of cited publications over the last decade in the included publications. “Screening for main components associated with the idiosyncratic hepatotoxicity of a tonic herb, Polygonum multiflorum (Li et al., 2017)”, “Incidence and Etiology of Drug-Induced Liver Injury in Mainland China (Shen et al., 2019)” and “Polygonum multiflorum Thunb.: A Review on Chemical Analysis, Processing Mechanism, Quality Evaluation, and Hepatotoxicity (Liu et al., 2018)” were emerged as focal points, garnering significant citations in recent years. The top 5 frequently cited journals by the included publications were Journal of Ethnopharmacology (n = 13,159), Frontiers in Pharmacology (n = 5,099), Molecules (n = 1,503), Evidence-Based Complementary and Alternative Medicine (n = 1,489), International Journal of Molecular Sciences (n = 1,347). Figure 4 shows the coupling result of the influential journals. The patterns of journal citations transferred over time, with a recent surge in the popularity of citing journals such as Frontiers in Pharmacology and Phytomedicine.
TABLE 3. Top 10 publications with the most citations.
FIGURE 3. Top 25 citations with the strongest bursts.
FIGURE 4. Coupling analysis of 25 influential journals. The thickness of the lines in the visualization indicates the frequency of co-occurrence between elements.
3.3 Hotspots and trends
Table 4 lists the top 25 keywords with the most frequencies. In terms of toxic classifications, hepatotoxicity (n = 119) or drug-induced liver injury (n = 48), and nephrotoxicity (n = 40) were focused on. In physiological and pathological manifestations, apoptosis (n = 190), oxidative stress (n = 115), inflammation (n = 81) and autophagy (n = 66) were focused on. In methods, pharmacokinetics (n = 93), metabolomics (n = 88), network pharmacology (n = 71), meta-analysis (n = 42) received great attentions.
TABLE 4. Top 25 keywords with the most frequencies.
After co-occurrence clustering of the top 40 keywords, 3 clusters were determined (Figure 5A). The keywords contained in cluster 1 (green cluster) were mainly CHM and its derivative words, which is characterized by the weak connection in-cluster and between-clusters. Cluster 2 (red cluster) contained the most keywords (n = 19). Among the most frequent words, apoptosis often co-occurred with oxidative stress and autophagy. Keywords in cluster 3 (blue cluster) were closely connected. Toxicity and toxicology often co-occurred with pharmacology or phytochemistry. The two keywords with the strongest correlation were pharmacology and phytochemistry. Figure 5B shows the change of keyword co-occurrence over time. Co-occurring keywords tended to shift from Cluster 1 and Cluster 2 to Cluster 3 between 2020 and 2022.
FIGURE 5. Co-occurrence analysis on the 40 keywords of the most records (A), clustering result; (B), clustering result with time-variation). The thickness of the lines in the visualization indicates the frequency of co-occurrence between elements.
Figure 6 presents the results of trend topic analysis. Emerging keywords for the past 3 years (2019–2022) included ferroptosis, NLRP3 inflammasome, machine learning, network pharmacology, traditional uses and pharmacology. Long-term concerned keywords (>5 years) included toxicity, safety, angiogenesis and neuroprotection. Short-term concerned keywords (<2 years) included ferroptosis, repellency, LC-MS/MS, aristolochia and contamination.
FIGURE 6. Trend topic analysis. The blue line signifies the duration of the keyword’s status as a hot topic, while the size of the blue dot indicates the frequency.
3.4 Features of publications in the CNKI database
The search in CNKI database generated 5,880 records, comprising 3,306 journal articles, 1894 dissertations, 465 conference articles and 215 other types of publications. Supplementary Figure S1 and Supplementary Table S1 show the frequencies of the top 40 keywords and their co-occurrence network. A substantial portion of the top 40 words exhibited overlap, often conveying similar concepts. In contrast to the WOS database, publications within the CNKI database paid extra attention to the issues in CHM production process, while displaying less attention to the mechanism of CHM toxicity.
4 Discussion
Despite concerns about the toxicity of CHM, its social hazards persist. There is a misconception that CHM is non-toxic and universally applicable. Hence, adverse events caused by the toxicity of CHM occurs in both clinical practice and the public health field. Notably, China experiences a higher proportion of toxic incidents caused by herbs compared to other countries (Yang et al., 2022). As one of the oldest herbal remedies, CHM is often overused outside of prescription. In Asia, it is frequently used as a complementary treatment or health supplement, while in western countries, weight losing is an important purpose (Chen and Fontana, 2021). Therefore, in order to draw attention and provide research directions, it is important to evaluate current research trends.
The number of publications on CHM’s toxicity increased in the past decade. The top 5 journals with the most publications have a great influence, with half of the highly cited publications (5/10) included. The Journal of Ethnopharmacology was considered the most influential journal within the field, exhibiting the highest publication and citation frequencies. Although most studies were funded and completed by Chinese institutions and authors, publications were concentrated in non-native journals. This highlights the need for more high-quality local journals to accommodate the growing studies. Similar to other study on toxicity (He et al., 2022), this study found that 9 of the top 10 cited studies were reviews, with only 1 being original research. While reviews contribute to summarizing research progress, this phenomenon may indicate a lack of attention to original research.
In keywords, this study identified hepatotoxicity and nephrotoxicity as the most concerned toxicity categories associated with CHM. Hepatotoxicity is the most common toxicity observed, with over 40 CHMs being identified as potential causes of liver injury (Teschke et al., 2014; Frenzel and Teschke, 2016). Among these toxic substances, alkaloids and terpenoids represent the two primary groups associated with hepatotoxic effects (He et al., 2019). Nephrotoxic components in CHM, particularly aristolochic acid, were among the earliest lethal toxic components identified in CHM. Besides, additional components that cause nephrotoxicity include alkaloids and anthraquinones. Although certain toxicities related to CHM were reported, including neurotoxicity (e.g., Tripterygium wilfordi (Liu et al., 2019)), cardiotoxicity (e.g., Aconitum carmichaeli (Sun et al., 2018)), and reproductive toxicity (e.g., Rhizoma Pinelliae (Li et al., 2022)), these do not exhibit high keyword frequency. This could be attributed to the fact that many CHMs possess a multitoxic nature, including hepatotoxicity or nephrotoxicity. Apoptosis was the most concerned pathological mechanism, which is quite complex. Toxic components such as triptolide and aristolochic acid can induce apoptosis to cause damage (Romanov et al., 2015; Wang Y. et al., 2018). Conversely, oxymatrine in Sophora flavescens may promote apoptosis to provide anti-cancer effect (Lan et al., 2020). In addition, evidence suggest that emodin in several CHMs can reduce the toxicity of cisplatin by inhibiting apoptosis (Liu et al., 2016). In methodology, the diversity reflected in the keywords of high-frequency, including various experimental and statistical methods. Regarding toxic ingredients, triptolide (n = 53), flavonodis (n = 25) and aristolochic acid (n = 21) keywords used over 20 times each. Expect aristolochic acids, as the most classic toxic ingredient, the other two exhibit dual characteristics. Triptolide functions as both an active and toxic ingredient, showcasing antitumor properties alongside notable hepatotoxic, nephrotoxic, and cardiotoxic tendencies (Noel et al., 2019). Flavonoids exists in most plant species, yet certain members within this category carry nephrotoxic properties (Yang et al., 2018). Other classic toxic components received less attention in keyword mentions, likely attributable to the prohibition of corresponding CHM, consequently diminishing research focus.
Co-occurrence clustering analysis identified 3 clusters related to CHM, mechanism and pharmacology, respectively. Although all included publications involved both CHM and toxicity, the connection between these 2 words and their derivatives were relatively loose. This may be attributed to studies focusing predominantly on one keyword and giving less attention to the other, leading to a low frequency of co-occurrence. Therefore, there remains insufficient studies that directly explore the intersection of CHM and toxicity. Keywords with short-term durations indicate limited research importance in these topics. In long-term keywords, apart from toxicity and safety, angiogenesis and neuroprotection had weak correlation with CHM’s toxicity itself. On the contrary, some low-toxicity CHMs were shown to possess neuroprotective or anti-angiogenic properties, thereby reducing neurotoxicity or cardiotoxicity induced by other drugs (Cheng et al., 2016; Li et al., 2019). These keywords could provide new insights into the relationship between CHM and toxicity. Emerging keywords in the past 3 years included 2 mechanism-related terms and 2 methodological terms. Within the mechanism category, ferroptosis is a non-apoptotic form of cell death, which is also an effective index for monitoring kidney injury (Jiang et al., 2021; Zeng et al., 2023). A recent study indicated that certain CHMs containing arsenic can induce kidney injury through the induction of ferroptosis (Zhang et al., 2022). The NLRP3 inflammasome was recognized as a trigger for liver injury (Mridha et al., 2017). In CHMs, Epimedium brevicornu and Psoralea corylifolia were proved to cause liver injury by enhancing NLRP3 inflammasome activation (Wang et al., 2020; Qin et al., 2021). Therefore, further studies concerning hepatotoxicity and nephrotoxicity in CHMs could take these 2 topics into consideration. Machine learning and network pharmacology were emerging technologies in the field of pharmacology. In the study of CHM, machine learning exists the potential in predicting toxicity (Zulkifli et al., 2023), while network pharmacology could be utilized to compensate for the limitations of traditional research methods in understanding the multi-component synergism of CHM (Yuan et al., 2017). Although landmark achievements in these 2 methods within CHM toxicity research are currently limited, they hold potential for future directions. It should be emphasized that these methods, based on existing evidence, rely on the accumulation of data from original studies.
One limitation is that the study was conducted on existing publications, which was unable to represent undiscovered research directions. Despite this common shortcoming of this type of research, this study attempted to explore future research directions by summarizing emerging keywords. Another limitation is that the influence of a journal or individual publication may not be fully consistent with the number of citations received. Aside from publication time and exposure, citation rate may even be affected by the popularity of the publisher or author (Hirsch, 2005). To mitigate this limitation, this study included only publications from the last 10 years to avoid diluting recent trends with outdated studies or methods. Additionally, potential bias may arise from the constraint of current software in merging database analyses. In order to mitigate this source of error, WOS was designated as the principal database for analysis, with supplementary examination of the CNKI database aimed at exploring divergences between the two databases.
5 Conclusion
Concerns about the toxicity of CHM have increased in the past decade. However, there remains insufficient studies that directly explore the intersection of CHM and toxicity. Hepatotoxicity and nephrotoxicity, as the most concerned toxicity classifications associated with CHM, warrant more in-depth investigations. Apoptosis was the most concerned toxicological mechanism. As a recent increase in attention, exploring the mechanisms of ferroptosis in nephrotoxicity and NLRP3 inflammasome in hepatotoxicity could provide valuable insights. Machine learning and network pharmacology are potential methods for future studies.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
Author contributions
K-XZ: Data curation, Investigation, Methodology, Writing–original draft. MW: Investigation, Writing–original draft. Z-LB: Formal Analysis, Resources, Software, Visualization, Writing–review and editing. S-LH: Writing–review and editing. L-MF: Writing–review and editing. F-FG: Formal Analysis, Resources, Software, Visualization, Writing–review and editing. X-ZW: Conceptualization, Formal Analysis, Resources, Software, Supervision, Visualization, Writing–review and editing. S-FX: Project administration, Supervision, Validation, Writing–review and editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the fifth batch of training objects of the national TCM clinical outstanding talents training program (National Letter of TCM Education [2022] No. 1), the Key Project of Jiangsu Provincial Health Commission (ZD2021042) and the Natural Science Foundation for Nanjing University of Chinese Medicine (XZR2020029).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2024.1293468/full#supplementary-material
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Keywords: Chinese herbal medicine, toxicity, safety, bibliometric analysis, crosssectional, pharmacology
Citation: Zhu K-X, Wu M, Bian Z-L, Han S-L, Fang L-M, Ge F-F, Wang X-Z and Xie S-F (2024) Growing attention on the toxicity of Chinese herbal medicine: a bibliometric analysis from 2013 to 2022. Front. Pharmacol. 15:1293468. doi: 10.3389/fphar.2024.1293468
Received: 13 September 2023; Accepted: 22 January 2024;
Published: 01 February 2024.
Edited by:
Maxine Deborah Gossell-Williams, University of the West Indies, JamaicaReviewed by:
Liu Yang, Heilongjiang University of Chinese Medicine, ChinaWei Peng, Chengdu University of Traditional Chinese Medicine, China
Copyright © 2024 Zhu, Wu, Bian, Han, Fang, Ge, Wang and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sheng-Fang Xie, eGllc2hlbmdmYW5nQDE2My5jb20=; Xue-Zhou Wang, d3h6MDA3dm9hQDEyNi5jb20=