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Ethnobotanical characterization of medicinal plants used in Kisantu and Mbanza-Ngungu territories, Kongo-Central Province in DR Congo

  • The Correction to this article has been published in Journal of Ethnobiology and Ethnomedicine 2021 17:8

Abstract

Background

The phytotherapeutic knowledge of the Kongo people in the territories of Kisantu and Mbanza-Ngungu in Kongo-Central Province (DR Congo) is rapidly eroding. To document the remaining knowledge, we conducted an ethnobotanical survey on the most important medicinal plant species and diseases treated with them, as well as plants with therapeutic potential. We also checked for the cultural similarity in medicinal plant knowledge between the two territories and how knowledge about Kongo medicinal plants differs between different social groups.

Methods

From June 2017 until February 2018 and from February 2019 until April 2019, we conducted a survey with 188 phytotherapists, selected using the snowball method and surveyed using semi-structured interviews. Voucher specimens were taken for identification. Ethnobotanical data were analyzed using medicinal use value (UVs), informant agreement ratio (IARs), informant consensus factor (ICF), and species therapeutic potential (STP). Rahman’s similarity index was used for ethno-cultural comparison of medicinal plant knowledge between the two communities. Medicinal knowledge between different social groups was analyzed using non-parametric tests and Poisson regression.

Results

A total of 231 plants (i.e., 227 botanical species, representing 192 genera and 79 families) were reportedly used to treat 103 diseases. Most abundant taxa were reported for the Fabaceae family (including 11.9% of species and 10.9% of genera). Most reported species (45.0%) were from anthropized areas. Leaves (39.4%), herbs (37.1%), decoction (41.7%), and oral ingestion (72%) were the most frequently cited plant part, botanical form, preparation, and administration method, respectively. Four of all inventoried species showed high UVS (> 0.05), whereas eight had an IAR of one. According to ICF, 31 diseases were mentioned. Highest ICF (≥ 0.4) was observed for hemorrhoids (0.44), amoebiasis (0.43), and itchy rash (0.42). Fifty-four plant species were identified as likely possessing an interesting therapeutic potential. Low ethno-cultural similarity in medicinal knowledge (RSI = 16.6%) was found between the two territories. Analysis of the Kongo medicinal plant knowledge showed that the mean number of reported species and diseases vary considerably depending on gender, type, and residence of therapists (P < 0.05).

Conclusion

Results prove that the Kongo phytopharmacopeia makes use of interesting medicinal plant species that could be further studied for conservation and pharmacological applications.

Introduction

Since time immemorial, so-called medicinal plants have been used by all civilizations around the globe to treat various types of diseases [1, 2]. Today, medicinal plants still have the interest of modern medicine, the pharmaceutical sector in particular, in search of new drugs [3, 4]. It is estimated that around 80% of the global population still practices phytotherapy [5]. In Africa, as in most underdeveloped countries, extreme and widespread poverty limits people’s access to quality health care or modern medicine [6], forcing them to rely on herbal medicine [7].

Several studies have raised the issue of loss or risk of extinction of traditional knowledge and skills in medicinal plant use. They have identified the degradation, deterioration of the natural habitat, and the disinterest of young people in traditional culture due to westernization, acculturation, and education as the main causes of medicinal plant species’ disappearance [8, 9]. This problem also prevails in Kongo-Central Province (DR Congo) [10]. In 1983, Daeleman and Pauwels [11] reported the disappearance of Erythrophleum suaveolens (Guill. & Perr.) Brenan, a species formerly used in the practice of trial by poison by the Kongo people, which allowed to identify the culprit behind a disease of supposedly mystical origin. In herbal medicine, this species was and is still used against rheumatism and gynecological problems.

According to Makumbelo et al. [12] and Kibungu [13], some native, wild medicinal plant species in Kongo-Central Province have increasingly become rare. This is, e.g., the case for Mondia whitei (Hook. f.) Skeels, Garcinia kola Heckel, and Dorstenia laurentii De Wild., which are used against sexual impotence, abdominal pain, and intestinal amoebiasis, respectively. A recent medicinal plant vulnerability study in Mbanza-Ngungu [14] showed that Lannea antiscorbutica (Hiern) Engl., Mondia whitei (Hook. f.) Skeels, Monodora myristica (Gaertn.) Dunal, Pseudospondias microcarpa (A. Rich.) Engl., and Annona senegalensis subsp. oulotricha Le Thomas are—according to their vulnerability indices (Iv)—the most vulnerable species in Kongo herbal medicine.

Medicinal plant use and the accumulated knowledge of traditional phytotherapeutic practices are a rich cultural heritage and form an integral part of local culture and tradition, and should be safeguarded to ensure their continued use [15].

In Kisantu and Mbanza-Ngungu territories, ancestral knowledge and skills regarding medicinal plants are orally transmitted, making them vulnerable to erosion and extinction. Medicinal plant studies and documentation in the area can help to save and conserve them [13].

Our ethnobotanical research is based on the assumption that the Kongo phytomedicinal knowledge contains much interesting information about important local medicinal plant species with effective therapeutic potential. According to Nzuki [10], the most important medicinal plants, are those distinguished by their medicinal use-value (UVs) or informant agreement ratio (IAR). They are to be prioritized for both cultivation and conservation to prevent their disappearance.

Heinrich et al. [16] and Lautenschläger et al. [17] suggested that the informant consensus factor (ICF) is a good indicator for selecting plant species best adapted to pharmacological needs and to be subjected to phytochemical analysis.

The objectives of our study are to (1) identify the most important medicinal plants and their uses in Kongo phytotherapy, (2) asses the ethno-cultural similarity of medicinal plant use knowledge between the two territories and compare medicinal plant knowledge (number of species cited and number of diseases treated) between different social groups distinguished according to respondents’ gender, age, marital status, education level, experience, type, and residence.

Study area

Our study was carried out in Kisantu and Mbanza-Ngungu towns as well as in the rural villages surrounding Mbanza-Ngungu, in Kongo-Central Province, Democratic Republic of Congo. Kisantu (also called Inkisi) is located at latitude 5° 08′ S and at longitude 15° 03′ E. Its altitude is estimated at 530 m above sea level (masl) [18]. Mbanza-Ngungu is located at latitude 5° 16′ S and at longitude 14° 5′ E. Its altitude ranges 500 to 750 masl [19]. The areas are characterized by a tropical Köppen AW4 climate with an average annual rainfall of 900 to 1500 mm and an annual average temperature of 25 °C [20] (Fig. 1).

Kisantu and Mbanza-Ngungu are predominantly inhabited by the Ntându and Ndibu ethnic groups, respectively, which are part of the Kongo people who inhabit an area that stretches from Congo-Brazzaville to Angola [21]. They share the same culture inherited from the ancient Kongo kingdom. The use of herbal medicine is well-rooted in their customs and habits. However, the Ntându culture has been strongly influenced by westernization and Christianity, whereas the Ndibu people have remained much attached to the traditional, ancestral Kongo religious practices [22, 23]. Farming and trading are the main economic activities of both ethno-linguistic groups [24]. Kisantu and Mbanza-Ngungu are interconnected, influence each other, and therefore share most socio-economic and cultural realities. They are both located in a Province where poverty is general and widespread. The health indicators for this province show a very worrying situation. These include the low coverage and precariousness of the health system (one general reference hospital for 126,700 inhabitants, one doctor for 17,356 inhabitants, one pharmacist for 131,069 inhabitants, one hospital bed for 514 inhabitants, one reference health center for 50,013 inhabitants) and low utilization of health services (49% for curative care) [20].

Fig. 1
figure1

Study area location inside DR Congo (adapted from Lesniewski [25])

Methods

Data collection

We distinguished three types of herbal therapists according to their attitude: (1) traditional health practitioners (who heal using plant, animal, or mineral products); (2) herbalists (who know plants and use them for medicinal purposes), and (3) curing healers (who mainly use religious or other rites to heal). We defined them according to the Congolese [26] and Central African [27] law on herbal medicine. These herbal therapists are reputed to have in-depth knowledge on local plant properties and enjoy a certain notoriety among the public. However, all herbal therapists have their own area of expertise, do not necessarily use the same plants to treat diseases, and are distinguished in the art of curing diseases [28].

Ethnobotanical surveys were conducted between June 2017 to February 2018 and February to April 2019. A total of 188 informants, including herbalists, traditional health practitioners, and curing healers were interviewed. They were selected using the snowball method [10, 29, 30] and surveyed using semi-structured interviews. Following Thomas et al. [31], plant photos were used to complete interviews and to check the respondents’ ability to recognize the plants they use. We used photos depicted in Pauwels et al. [32] as well as their own photos taken during preparatory field visits in the study area.

Information on age, gender, marital status, education level, experience, socio-professional category, diseases treated, plants and plant organs used, medicinal pant growth location, preparation, and administration methods were collected during interviews. Following Sylva et al. [33], visits in the wild were carried out, accompanied by healers to the places where they harvest medicinal plants. Plant identification was done with the help of healers and by consulting studies from Gillet et al .[34], Nsimundele [35], Daeleman et al. [11], Budiongo [36], Mukoko [37], Pauwels [38], Malaisse [39], Kibungu [13], Nzuki [10], Latham et al. [40], and Nzenza et al. [41]. Voucher specimens of each species were collected and compared with species at the herbarium of Kisantu botanical garden or at the National Institute for Agronomic Studies and Research (INERA) at Kinshasa University (UNIKIN). Scientific names, in accordance with the APG IV system, were verified using websites such as Tela-Botanica (www.tela-botanica.org) or IPNI (International Plant Name Index: www.ipni.org).

Ethnobotanical parameters measured

Relative importance attached to a given medicinal plant species in Kongo herbal medicine was calculated using UVs (medicinal use value) parameter by the formula of Phillips et al. [42] modified and used by Thomas et al. [43]:

$$ \mathrm{UVs}=\frac{\sum_{\mathrm{i}=1}^{\mathrm{n}}U\mathrm{is}}{\mathrm{n}\mathrm{s}} $$
(1)

in which UVS is the use value of a given species s; Uis is the number of uses of species s mentioned by informant i; ns is the total number of informants.

As this parameter does not reflect the consensus of informants on medicinal plant use, we have also calculated for each species, the parameter IAR (informant agreement ratio) following Trotter and Logan [44], Thomas et al. [40] and Nzuki et al. [14]:

$$ \mathrm{IAR}=\frac{\mathrm{Nr}-\mathrm{Na}}{\mathrm{Nr}-1} $$
(2)

in which Nr is the total number of citations of the species and Na is the number of diseases treated by the species.

For each plant use, we calculated the ICF (informant consensus factor) parameter, which allows to verify informant agreement for a plant species in the treatment of a particular disease and to select species with an interesting therapeutic potential for phytochemical and pharmacological studies [44]. ICF was computed following Trotter and Logan [44]:

$$ \mathrm{ICF}=\frac{\mathrm{Nuc}-\mathrm{Nt}}{\mathrm{Nuc}-1} $$
(3)

in which Nuc is the number of citations of a particular disease; Nt is the number of species used for the treatment of that disease.

After documenting local uses, we selected species that seemed to be potentially effective for treating diseases and therefore merit phytochemical study. For this purpose, following to Heinrich [45], we considered species cited more than once for the treatment of a mentioned disease as potentially effective. To enable selection of such potentially interesting species, we defined and used the parameter species therapeutic potential (STP):

$$ STP\ \left(\%\right)=\frac{Ni-1}{Nti} $$
(4)

in which Ni is the number of informants who mentioned the use of a species for the treatment of a given disease, and Nti is the total number of informants who mentioned any species for the treatment of that disease. The STP parameter allows the selection of the most frequently cited plants for the treatment of a given disease whereas the plants cited only once to be discarded. In other words, the STP allows to identify only the species with the highest level of consensus for each disease mentioned according to ICF to be selected.

Data analysis

A synoptic table of inventoried medicinal plants and their use in Kisantu and Mbanza-Ngungu territories is presented in an additional file, available on https://data.mendeley.com/datasets/4cf2p3mgpc/1. MS Excel 2013 was used to process the data. Differences of traditional medicinal knowledge between Kongo social groups were analyzed using SPSS 25. Mann-Whitney and Kruskal-Wallis non-parametric tests as well as Poisson regression were employed to analyze differences in disease and medicinal plant knowledge between different social groups (distinguished according to gender, age, experience, education, marital status, categories, and residence). Results of Poisson regression, Mann-Whitney, and Kruskal-Wallis tests were considered as statistically significant for p values < 0.05. For ethno-cultural comparison between Kisantu (inhabited mainly by the Ntându ethnic group) and Mbanza-Ngungu (inhabited mainly by the Ndibu ethnic group) and between urban and rural respondents, we used the Rahman similarity index (RSI), which indicates the similarity of species used for treating the same diseases [46]. We assume that two communities are culturally closer if they use the same species to treat the same diseases.

$$ RSI\ \left(\%\right)=\frac{d}{a+b+c-d} $$
(5)

in which “a” is the number of unique species in community A, “b” is the number of unique species in community B, “c” is the number of common species in both A and B communities, and “d” is the number of common species in both A and B communities that are used to treat the same disease; a and b ≠ 0 and c and d ≥ 0.

Results

Informant profiles

The majority of informants were male (57.4%). Most of them were traditional health practitioners (81.9%). The sector is dominated by adults (72.3%) followed by the elderly (23.4%). Lowest number of respondents were situated in Mbanza-Ngungu urban area (20.7%) compared to Kisantu (43.1%) and Mbanza-Ngungu rural area (36.2%) respondents. Majority of respondents had at least received primary (33%) and secondary (45.5%) school education. Most respondents were married (70.2%) and had more than 10 years of experience (78.7%) with phytomedicine. The highest average number of cited species and diseases were recorded among elderly users (4.8 ± 4.2 species and 2.1 ± 1.9 diseases mentioned on average), practitioners with 5-10 years of experience (4.6 ± 4.4 species and 1.9 ± 1.9 diseases mentioned on average), male respondents (4.8 ± 3.9 species and 1.9 ± 1.9 diseases mentioned on average), curing healers (6.7 ± 5.6 species and 3.1 ± 2.6 diseases mentioned on average), married therapists (4.6 ± 3.9 species and 1.8 ± 1.9 diseases mentioned on average), respondents with at least secondary school education (4.7 ± 4.1 species and 2.1 ± 2.2 diseases mentioned on average), and therapists living in the Mbanza-Ngungu urban area (5.21 ± 4.4 and 2.5 ± 2.6) (Table 1).

Table 1 Informant sociological profiles and average (± SD) number of reported species and diseases

Taxonomic diversity

From a total of 231 plants inventoried, 227 species could be identified and classified in 192 genera and 79 families. Families representing most species were Fabaceae (27 species, i.e., 11.9%), Euphorbiaceae (13 species, i.e., 5.7%), Rubiaceae (12 species, i.e., 5.3%), Asteraceae and Lamiaceae (each with 11 species, i.e., 4.8%), and Solanaceae (10 species, i.e., 4.4%). The other 73 families were represented by less than 10 species (Table 2).

Table 2 Taxonomic diversity of medicinal plants in the study area

Medicinal plant use

A total of 337 plant medicine recipes have been identified, of which 203 are composed of at least two species, for the treatment of 103 diseases. Diseases most commonly treated by traditional medicine in the study area are hemorrhoids, hernias, and sexual weakness or impotence. The leaf (39.4%) was the most commonly used organ, whereas decoction (41.7%) and oral intake (71.7%) were the most common preparation and administration methods, respectively, in all use reports (Fig. 2).

Fig. 2
figure2

Share (%) in use reports of organs harvested (a), preparation (b), and administration methods (c) of plant medicines

Herbs (36.4%) are the most widespread biological form, whereas anthropized areas such as fields, roadsides, homegardens, or in neighborhoods (45.0%) are the most frequent locations where inventoried medicinal plants are found (Fig. 3)

Fig. 3
figure3

Share (%) in medicinal plant use reports of biological forms (a) and plant locations (b)

Ethnobotanical data analysis

Relative importance of a given plant (UVS, IAR)

Medicinal plant use value ranged from 0.01 to 0.14. Elaeis guineensis Jacq., (0.14), Mondia whitei (Hook. f.) Skeels (0.10), Ocimum gratissimum L., (0.08), and Pentadiplandra brazzeana Baillon (0.06) are the most important species in the traditional Kongo pharmacopeia, with UVs > 0.05 (Fig. 4a). The informant agreement on plant use ranged 0.1 to 1. Dioscorea smilacifolia De Wild. & T. Durand, Abelmoschus esculentus (L.) Moench, Corymbia citriodora (Hook.) K. D. Hill & L. A. S. Johnson, Garcinia kola Heckel, Musanga cecropioides R. Br., Steganotaenia araliacea Hochst, Strychnos pungens Soler., and Datura stramonium L. have the maximum IAR-value of 1 (Fig. 4b). They represent the species with the highest level of consensus for their use as a remedy for diabetes, cough, epilepsy, laryngitis, hernia, elephantiasis, hair yellowing, and tooth decay, respectively.

Fig. 4
figure4

Ranking of most important medicinal plant species according to UV (a) and IAR (b)

Informant consensus factor and species therapeutic potential

ICF ranged 0.05 to 0.44 and a total of 31 diseases have been highlighted. Diseases with ICF values 0.20 include hemorrhoids (0.44), amebiasis (0.43), itchy rash (0.42), poliomyelitis (0.36), intestinal parasitosis (0.33), sexual weakness or impotence (0.32), splenomegaly (0.29), laryngitis (0.27), rheumatism (0.25), otitis, (0.25), hernia (0.2), and cough (0.2) (

Table 3 Plant use consensus and species with high therapeutic potential

Table 3). For each reported disease, we identified the species with the highest STP. A total of 54 plant species has thus been identified and considered as having effective therapeutic potential (Table 3). Hernia is the pathology with the highest number of reported medicinal plant remedies. Elaeis guineensis Jacq. is said to be used to treat the highest number of diseases including amoebiasis, dental caries, migraine, sciatic neuralgia, splenomegaly, and rheumatism (Table 3).

Medicinal knowledge

Despite the large number of common species (105) and diseases (40) that are reported in both territories, a low ethnocultural similarity (RSI) was observed (16.7%) between respondents from Kisantu and Mbanza-Ngungu. Most similarity was observed in the use of common species for similar diseases between respondents from Kisantu and those of Mbanza-Ngungu rural areas (RSI = 15.6%), followed by similarity between respondents of Mbanza-Ngungu urban and rural areas, respectively (RSI = 8.1%). Ethnocultural similarity of medicinal plant knowledge was lowest (RSI = 5.7%) between respondents from Kisantu and those from Mbanza-Ngungu urban areas (RSI = 5.7%) (Table 4).

Table 4 Ethnomedicinal cultural similarity between Kisantu and Mbanza-Ngungu territories

Traditional Kongo medicinal knowledge (based on number of reported medicinal species and diseases) was found to be independent of age, education, experience, and marital status (p > 0.05), but was significantly (p < 0.05) influenced by informant gender, quality, and residence.

Mean number of species cited was found to be significantly (p < 0.05) different between (1) curing healers, herbalists, and traditional health practitioners, with curing healers citing 1.46 times more species (b = 0.383; S.E = 0.1056, p = 0.00 than traditional health practitioners, and traditional practitioners citing 0.44 times more species than herbalists (b = −0.812; S.E = 0.216; p = 0.00); (2) informants from cities (in both Kisantu and Mbanza-Ngungu) and those from villages, with no significant differences (p > 0.05) between Kisantu and Mbanza-Ngungu cities and with informants from Kisantu and Mbanza-Ngungu significantly citing 53 times (b = 0.426; S.E = 0.977; p = 0.00) and 1.76 times (b = 0.565; S.E = 0.999; p = 0.00) more species, respectively, than informants from villages near Mbanza-Ngungu, and (3) men and women, with men citing 0.75 times more species than women (b = 0.290; S.E = 0.764; p = 0.00) (Table 5).

Table 5 Poisson regression model of the average number of species and diseases cited by the different social groups

There were no significant differences between the mean number of diseases cited by curing herbalists and by traditional health practitioners. The number of diseases cited by curing healers was significantly (p < 0.05) different from those cited by herbalists and traditional health practitioners. The number of diseases cited by traditional health practitioners was 0.63 times higher than that of herbalists, whereas curing healers significantly cited 1.77 times more diseases than traditional health practitioners. The mean number of cited diseases was significantly different between informant residence (p < 0.05). Informants from Kisantu (b = 0.520; S.E = 0.1616; p = 0.01) and Mbanza-Ngungu (b = 0.874; S.E = 0.1576; p = 0.00) significantly cited respectively 1.68 and 2.40 times more diseases than informants from villages near Mbanza-Ngungu. To conclude, the mean number of cited diseases was also significantly different between men and women (p < 0.05), with men citing 0.76 times more diseases than women.

Discussion

Medicinal plant use

The Kongo people possess a rich and diversified ancestral medicinal knowledge, irrespective of their level of education, gender or marital status, or whether they live in cities or in the countryside. Of all 231 medicinal plant species inventoried in our study, 135 were also identified in ethnomedicinal studies from Nzuki et al. [14], 170 from Kibungu [13], and 70 from Nsimundele [35] in the same Kongo-Central Province. The predominance of taxa in the Fabaceae family corroborates observations of Amujoyegbe et al. [47] (Nigeria), Ribeiro et al. [48] (Brazil), and Ong et al. [49] (India and Bangladesh). The medicinal use of taxa in this family can probably be explained by the bioactive elements they contain, including tannins, alkaloids, coumarins, steroids, saponosides, flavonoids, and isoflavonoids [50].

The predominant medicinal plant part (leaves), botanical form (herbs), preparation (decoction), and administration (oral intake) method used were also observed in earlier medicinal plant studies [51,52,53,54]. The widespread medicinal use of leaves is probably due to the fact that they are easily and conveniently harvested [55] but also because they are the site par excellence of biosynthesis and storage of secondary metabolites, responsible for biological plant properties [56, 57].

The fact that vegetation has become highly disturbed by human activities in the region, can explain why most cited medicinal plants are herbaceous species. Abandoned fields, rudimentary environments, and trampled areas are quickly colonized by herbs to the detriment of forests and savannahs, which require a long transition period to regenerate [58].

The common practice of decoction as a medicinal plant preparation method can be explained by the fact that it is an easy way to collect the medicinally active principle compounds and to mitigate or eliminate toxic substances in certain medicinal plants [59]. The frequent use of oral absorption as medicinal plant administration route can be linked to the fact that it is fast and provides a large effective surface area for absorption of the drug’s active components [60]. Once absorbed, the drug passes through the intestinal wall and the liver before being transported to the target site by the bloodstream [61, 62].

Local importance of plants and their consensus of use in disease treatment

Our findings indicate that 12 (5.2 %) or 20 (8.7%) of all inventoried medicinal plants are the most medically important species of the study area according to UVS (> 0.05) and IAR (≥ 0.5), respectively.

The 12 diseases ranked as most important according to their ICF values have low ICF values when compared to those reported by other authors who performed ethnobotanical studies with the same Kongo people in other areas. This is the case, e.g., sexual weakness (ICF, 0.71) reported in Kinshasa [63] or for intestinal parasitosis (ICF, 0.48), rheumatism (ICF, 0.47), or otitis (ICF, 0.4) in Uíge Province, northern Angola [17]. Low ICF values could be explained by the tendency of phytotherapists to keep their knowledge secret from each other [64, 65].

The common medicinal use of Elaeis guineensis Jacq. is linked with the diverse products that are obtained from it, including oil, wine, and salt (palm inflorescence reduced to ashes) [66]. These extracts are used respectively as (1) an excipient for the preparation of vegetable ointments; (2) a maceration liquid to enhance the action of certain drugs with aphrodisiac and galactogenic properties; (3) an addition in many preparations to facilitate the absorption of the drug; or to reduce and preserve certain preparations in powder form. According to Raymond-Hamet [67], the ash salts of Elaeis guineensis Jacq. would release alkaloids from the plants used in the various preparations, which would explain why they are so frequently used by natives in multiple medications.

Traditional medicinal knowledge among social and ethnic groups

Analyses on the influence of social factors on medicinal plant use indicated that male, married, adult, literate, experimented, and urban respondents were the most represented among phytotherapists. These findings are in line with those of Nzuki [10] (Mbanza-Ngungu) for gender, age, literacy, and respondent residence and with Ladoh-yemeda et al. [68] (Cameroun) for experience.

Descriptive statistics showed that curing healers, male therapists, adults and the elderly, married, educated (with secondary education), and urban respondents reported a higher average number of species and diseases than other respondent categories. Similar findings were obtained by Dapar et al. [69] for men, adults, and elderly, married and secondary-school-educated therapists as well as by Sanga [70] for therapists living in urban areas. Nzuki [10], however, found that in Mbanza-Ngungu, rural therapists may have more knowledge than urban therapists. This difference may be due to the fact that Nzuki’s observations are based on the comparison between urban and rural healers who use more than 10 medicinal plants rather than comparing the average number of plants used by both healer categories.

The high number of common species and diseases that are reported in both Kisantu and Mbanza-Ngungu (including their neighboring villages), may be linked to the fact that the two territories belong to the same Guineo Congolese phytogeographical region [71] and share more or less the same ecoclimatic and edaphic conditions and common realities [10]. Low similarity indices are often linked to a high diversity of ethnic groups in a certain area [72], globalization [73], the use of the same species for a wide variety of diseases, or to the limited cultural exchanges between the studied ethnolinguistic groups [74].

It was found that medicinal knowledge (average number of medicinal species and diseases reported) was significantly different between male and female respondents and between the different healer and residence categories, but not between the different healers’ marital status, age, or education categories.

Similar results were found by Dapar et al. [69] for gender and healer categories. However, the latter authors found that age, education, and marital status influenced respondent’s medicinal knowledge whereas there was no influence of their residence location.

Men are more knowledgeable about medicinal plants than women, probably because in traditional society, knowledge is generally passed on to men, more specifically to the family elder brother, providing them with a certain power in the family and notoriety in the society [75].

The high medicinal knowledge of urban phytotherapists can probably be linked to urban phytotherapists who make false claims about their competence, thereby taking advantage of naive patients who are often destitute and in desperate search of medical treatment. These phytotherapists, driven by profit generation, might then prescribe medicinal plant treatments, that do not always correspond to accurate ancestral knowledge. The high medicinal knowledge of curing healers can be associated to the use of medicinal plants for both physical and mental health problems [76].

Conclusion

Kongo herbal medicine is rich in medicinal plant species. Some have high medicinal value, whereas others seem to have interesting therapeutic potential for certain diseases. It is essential to produce and conserve these important species. Conservation can be achieved ex situ through cultivation in fields, homegardens, or plantations, or in situ by maintaining and protecting their natural ecosystems. Potentially therapeutic herbal medicines should be subjected to phytochemical analysis in order to find more evidence for their true medicinal value. This should enable the Kongo people to take full social and economic advantage of their knowledge.

Availability of data and materials

All data can be obtained by request to the corresponding author. All voucher specimens are deposited at the Herbarium of the National Institute for Agronomic Studies and Research of Kinshasa University and will be deposited at the Botanical Garden of Meise in Belgium as soon as suitable conditions are established.

Change history

Abbreviations

UVS :

Use medicinal value

IAR:

Informant agreement ratio

FIC:

Informant consensus factor

STP:

Species therapeutic potential

DRC:

Democratic Republic of Congo

Iv:

Vulnerability index

INERA:

National Institute for Agronomic Studies and Research

UNIKIN:

Kinshasa University

APG:

Angiosperm Phylogeny Group

IPNI:

International Plant Names Index

References

  1. 1.

    Qureshi R, Ghazanfar SA, Obied H, Vasileva, Tariq MA. Ethnobotany: a living science for alleviating human suffering. Evidence-Based Complementary and Alternative Med. 2016. https://doi.org/10.1155/2016/9641692.

  2. 2.

    Voeks RA. Disturbance pharmacopoeias: medicine and myth from the humid tropics. Ann Assoc Am Geographers. 2004. https://doi.org/10.1111/j.1467-8306.2004.00439.x.

  3. 3.

    Rivera D, Obon C, Inocencio C, Heinrich M, Verde A, Fajardo J, Llorach R. The ethnobotanical study of local mediterranean food plants as medicinal resources in Southern Spain. J Physiol Pharm. 2005;56:97–114.

    Google Scholar 

  4. 4.

    De Natale A, Pollio A. Plants species in the folk medicine of Montecorvino Rovella (inland Campania Italy). J Ethnopharmacol. 2007. https://doi.org/10.1016/j.jep.2006.07.038.

  5. 5.

    Ullah R, Hussain Z, Iqbal Z, Hussain J, Khan UF, Khan N, Muhammad Z, Ayaz Z, Ahmad S. Traditional uses of medicinal plants in Darra Adam Khel NWFP Pakistan. J Med Plants Res. 2010;17:1815–21.

    Google Scholar 

  6. 6.

    Ma WG, Tan R, Fuzzati N, Li QS, Wolfender JL, Hostettmann K. Natural occurring and synthetic polyyne glycosides. Phytochemistry. 1997;45:411–5.

    Article  Google Scholar 

  7. 7.

    Béné K, Djeneb C, N’Guessan FBY, Yapi AB, Yapo YC, Ambe SA, Zirihi GGN. Étude ethnobotanique des plantes médicinales utilisées dans le département de Transua, District du Zanzan (Côte d’Ivoire). J Animal Plant Sci. 2016;27(2):4230–50.

    Google Scholar 

  8. 8.

    Yineger H, Delenasaw Y, Demel T. Knowledge and practice of the Oromo ethnic group in southwestern Ethiopia. J Ethnobiol Ethnomed. 2008. https://doi.org/10.1186/1746-4269-4-11.

  9. 9.

    Voeks RA, Leony A. Forgetting the forest: assessing medicinal plant erosion in Eastern Brazil. Economic Botany. 2004. https://doi.org/10.1663/0013-0001(2004)58[S294:FTFAMP]2.0.CO;2.

  10. 10.

    Nzuki BF. Recherches ethnobotaniques sur les plantes médicinales dans la Région de Mbanza-Ngungu, RDC: Thèse de Doctorat (PhD), Faculté des Sciences en Bio-Ingénierie, Université de Gand, Belgique; 2016. https://biblio.ugent.be/publication/8205211/file/8205212.

  11. 11.

    Daeleman J, Pauwels L. Notes d’ethnobotanique ntándu (Kongo) - Principales plantes de la région de Kisaántu : Noms ntándu et noms scientifiques: Africana Linguistica; 1983. https://doi.org/10.3406/aflin.1983.920.

  12. 12.

    Makumbelo E, Lukoki L, Paulus JS, Luyindula N. Stratégie de valorisation des espèces ressources des produits non ligneux de la savane des environs de Kinshasa: II. Enquête ethnobotanique (aspects médicinaux). Tropicultura. 2008;26(3):129–34.

    Google Scholar 

  13. 13.

    Kibungu KAO. Quelques plantes médicinales de la province du Bas Congo et leurs usages. London, United Kingdom: DFID; 2010. p. 198. http://www.ethnopharmacologia.org/prelude/pdf/bibio-hk-61-kibungu.pdf.

    Google Scholar 

  14. 14.

    Nzuki BF, Céline C, Kibungu KAO, Van Damme P. Identification et importance locale des plantes médicinales utilisées dans la région de Mbanza-Ngungu, République démocratique du Congo. Bois & forêts des tropiques. 2013. https://doi.org/10.19182/bft2013.316.a20531.

  15. 15.

    Léger A. Biodiversité des plantes médicinales québécoises et dispositifs de protection de la biodiversité et de l'environnement. Mémoire présenté comme exigence partielle de la maîtrise en sciences de l'environnement, Université du Québec à Montréal; 2008. p. 186. http://archipel.uqam.ca/id/eprint/967.

    Google Scholar 

  16. 16.

    Heinrich M, Ankli A, Frei B, Weimann C, Sticher O. Medicinal plants in Mexico: healers’ consensus and cultural importance. Soc Sci Med. 1998. https://doi.org/10.1016/S0277-9536(98)00181-6.

  17. 17.

    Lautenschläger T, Mawunu M, Macuntima P, Mandombe JL, Makaya FB, Heinze C, Neinhuis C. First large-scale ethnobotanical survey in the province of Uíge, Northern Angola. J Ethnobiol Ethnomed. 2018. https://doi.org/10.1186/s13002-018-0238-3.

  18. 18.

    Pauwels L. Catalogue des Plantes Cultivées au Jardin Botanique de Kisantu, RDC, Belgium, 1972. Accessed 2020-05-06. Available on http://www.nzenzeflowerspauwels.be/Kisantu72.pdf.

  19. 19.

    Lokuli I. Contre-performance des PME dans la cité de Mbanza-Ngungu. Travail de fin d’Etudes, Institut pédagogique de Mbanza-Ngungu, 2015. Accessed 2020-05-02. Available on https://www.memoireonline.com/04/17/9884/m_Contre-performance-des-PME-dans-la-cite-de-Mbanza-Ngungu.html.

  20. 20.

    DSRP/Bas-Congo. Document provincial de stratégie de réduction de la pauvreté, Province du Bas-Congo, DSRP Provincial, 2007. 134p. Accessed 2020-05-02. Available on http://nekongo-unis.org/Files/Other/strategie_de_la_reduction_de_la_pauvrete-du_bas_congo.pdf.

  21. 21.

    Martin Denise. « Bakongo ». In Encyclopedia of African Religion, edited by Molefi Asante et Ama Mazama. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2009. 90. doi: https://doi.org/10.4135/9781412964623.n57.

  22. 22.

    Nzembele J. Histoire-culture-savoir- les Bantandu - kongo Central (Bas-Congo). 2015. Accessed 2020-09-09. Available on https://www.facebook.com/notes/j%C3%A9r%C3%B4me-nzembele/histoire-culture-savoir-les-bantandu-kongo-central-bas-congo-/1143218185688678/.

  23. 23.

    Problèmes du Bas-Congo (I), Courrier hebdomadaire du CRISP, vol. 59, no. 13, 1960, pp. 1-23. DOI : 10.3917/cris.059.0001.

  24. 24.

    CAID. Cellule d’Analyses des Indicateurs de Développement, 2017. Accessed 2020-04-12. Available on https://www.caid.cd/.

  25. 25.

    Lesniewski R. Carte de la République Démocratique du Congo. Illustration Stock—Illustration du national, navigation: 69235895. Accessed 2020-06-25. Available on https://fr.dreamstime.com/illustration-stock-carte-du-congo-r%C3%A9publique-democratic-image69235895.

  26. 26.

    Mashako M. Arrêté Ministériel n° 1250/ CAB MIN/S/CJ/KIZ/32/2002 du 25/10/2002 portant organisation de l’exercice de la médecine traditionnelle. Ministère congolais de la santé, RD. Congo, 2002. 8p.

  27. 27.

    Bozize F. LOI N° 72.002. portant organisation de l'exercice de la pharmacopée et de la médecine traditionnelle en République Centrafricaine. Décret présidentiel, RCA, 2002. 7p.

  28. 28.

    Pretorius E. Traditional healers. South African Health Review. 1999;249:256.

    Google Scholar 

  29. 29.

    Cochran WG. Sampling techniques. In: Wiley series in probability and mathematical statistics. 3rd ed. New York: Wil; 1977.

    Google Scholar 

  30. 30.

    Martin G. Ethnobotany: A Methods Manual. Boston, MA: Springer US; 1995. https://doi.org/10.1007/978-1-4615-2496-0.

    Google Scholar 

  31. 31.

    Evert T, Vandebroek I, Van Damme P. What works in the field? A comparison of different interviewing methods in ethnobotany with special reference to the use of photographs. Economic Botany. 2007. https://doi.org/10.1663/0013-0001(2007)61[376:WWITFA]2.0.CO;2.

  32. 32.

    Pauwels L, Latham P, Billiet F, Bamps P. Photos of flowers and plants from Bas-Congo (DR. Congo - Africa). Accessed 2020-05-20. Available on http://nzenzeflowerspauwels.be/Latham2.htm.

  33. 33.

    Silva HC, Caraciolo RL, Marangon LC, Ramos MA, Santos LL, Albuquerque UP. Evaluating different methods used in ethnobotanical and ecological studies to record plant biodiversity. J Ethnobiol Ethnomed. 2014. https://doi.org/10.1186/1746-4269-10-48.

  34. 34.

    Gillet J, Pâque E. Plantes principales de la Région de Kisantu: leur nom indigène, leur nom scientifique, leur usage. Vol. 4; Ministère des Colonies; 1910.

    Google Scholar 

  35. 35.

    Nsimundele L. Répertoire des plantes médicinales des régions côtières du Mayumbe et du Bas-Congo,1966-1968. « Banque de données Prélude - Parcourir par référence - HN 36 | Musée royal de l’Afrique centrale - Tervuren - Belgique », 1968. Available on https://www.africamuseum.be/fr/research/collections_libraries/biology/prelude/view_reference?ri=HN%2036.

    Google Scholar 

  36. 36.

    Ludiongo N. Nkisi mi Bakulu. Diocèse de Kisantu, RD Congo; 1984.

    Google Scholar 

  37. 37.

    Mukoko M. Plantes médicinales et leurs Usages. Kinshasa, R.D.C.: Ed. Centre de vulgarisation agricole; 1991. p. 55.

    Google Scholar 

  38. 38.

    Pauwels L. Nzayilu N’ti: guide des arbres et arbustes de la région de Kinshasa - Brazzaville. Scripta botanica Belgica 4. Meise: Ministère de l’Agriculture, Administration de la Recherche Agronomique; 1993. p. 495.

    Google Scholar 

  39. 39.

    Malaisse F. Se nourrir en forêt claire africaine: approche écologique et nutritionnelle. Presses agronomiques de Gembloux; 1997. p. 384.

    Google Scholar 

  40. 40.

    Latham P, Konda Ku Mbuta A. Useful plants of Bas-Congo Province, Democratic Republic of Congo. Vol. 2. ed. S.l.: Salvation Army; 2014. p. 292.

    Google Scholar 

  41. 41.

    Nzenza FH, Disengomoka MI. Guide Thérapeutique de la République démocratique du Congo: Traitement des maladies par les plantes (Phytothérapie) dans les régions de l’Ouest de la République Démocratique du Congo Kinshasa; 2018. p. 175.

    Google Scholar 

  42. 42.

    Phillips OL, Gentry AH. The useful plants of Tambopata, Peru: II. Additional hypotheses testing in quantitative ethnobotany. Economic Botany. 1993:1993. https://doi.org/10.1007/BF02862204.

  43. 43.

    Evert T, Vandebroek I, Sabino S, Van Damme P. Cultural significance of medicinal plant families and species among Quechua Farmers in Apillapampa, Bolivia. J Ethnopharmacol. 2009. https://doi.org/10.1016/j.jep.2008.11.021.

  44. 44.

    Trotter RT, Logan MH. Informant consensus: a new approach for identifying potentially effective medicinal plants. In: Etkin NL, editor. Plants in Indigenous Medicine and Diet, Behavioural Approaches. Bredfort Hills, New York: Redgrave Publishing Company; 1986. p. 91–112.

    Google Scholar 

  45. 45.

    Heinrich M. Ethnobotany and its role in drug development. Phytotherapy Research: PTR. 2000. https://doi.org/10.1002/1099-1573(200011)14:7<479::aid-ptr958>3.0.co;2-2.

  46. 46.

    Rahman IU, Afzal A, Iqbal Z, Hart R, EF AA, Hashem A, Alsayed MF, Ijaz F, Ali N, Shah M, Bussmann RW, Calixto ES. A new ethnobiological similarity index for the evaluation of novel use reports. Appl Ecol Environmental Res. 2019. https://doi.org/10.15666/aeer/1702_27652777.

  47. 47.

    Amujoyegbe OO, Idu M, Agbedahunsi JM, Erhabor JO. Ethnomedicinal survey of medicinal plants used in the management of sickle cell disorder in Southern Nigeria. J Ethnopharmacol. 2016. https://doi.org/10.1016/j.jep.2016.03.042.

  48. 48.

    Ribeiro RV, Bieski IGC, Balogun SO, Martins DTO. Ethnobotanical study of medicinal plants used by Ribeirinhos in the North Araguaia microregion, Mato Grosso, Brazil. J Ethnopharmacol. 2017. https://doi.org/10.1016/j.jep.2017.04.023.

  49. 49.

    Ong HG, Kim YD. Medicinal plants for gastrointestinal diseases among the Kuki-Chin ethnolinguistic groups across Bangladesh, India, and Myanmar: a comparative and network analysis study. J Ethnopharmacol. 2020. https://doi.org/10.1016/j.jep.2019.112415.

  50. 50.

    Mekkiou R. Recherche et détermination structurale des métabolites secondaires d’espèces du Genre Genista (Fabaceae): G. Saharae, G. Ferox.” Thèse de doctorat, Faculté des sciences, Université Mentouri-Constantine ; 2005, 199p. Accessed on 2020-07-09. Available on https://bu.umc.edu.dz/theses/chimie/MEK4311.pdf.

  51. 51.

    Tugume P, Kakudidi EK, Mukadasi B, Namaalwa J, Kamatenesi M, Mucunguzi P, Kalema J. Ethnobotanical survey of medicinal plant species used by communities around Mabira Central Forest Reserve, Uganda. J Ethnobiol Ethnomed. 2016. https://doi.org/10.1186/s13002-015-0077-4.

  52. 52.

    Malik K, Ahmad M, Zafar M, Sultana S, Tariq A, Rashid N. Medicinal plants used for treatment of prevalent diseases in Northern Pakistan of Western Himalayas. In: Abdul Rasool Hassan B, editor. Medicinal Plants - Use in Prevention and Treatment of Diseases. IntechOpen; 2020. https://doi.org/10.5772/intechopen.89932.

    Google Scholar 

  53. 53.

    Balamurugan G, Karthick A, Sasikumar K. Herbal plants for children diseases’ cure in Perambalur, Tamil Nadu, India. Indian J Traditional Knowledge. 2019;18(4):758–68.

    Google Scholar 

  54. 54.

    Rahayu SE, Oktapianti R, Matondang I. Ethnobotany survey of medicinal plants used for traditional maternal healthcare by Serawai tribe, Seluma district, Bengkulu - Indonesia. J Curr Med Res Opinion. 2020. https://doi.org/10.15520/jcmro.v3i04.275.

  55. 55.

    Bhattarai S, Chaudhary RP, Taylor RSL. Ethnomedicinal plants used by the people of Manang district, central Nepal. J Ethnobiol Ethnomed. 2006. https://doi.org/10.1186/1746-4269-2-41.

  56. 56.

    Kumar P, Lalramnghinglova H. India with special reference to an Indo-Burma hotspot region. Ethnobot Res Applications. 2011. https://doi.org/10.17348/era.9.0.379-420.

  57. 57.

    Srithi K, Balslev H, Wangpakapattanawong P, Srisanga P, Trisonthi C. Medicinal plant knowledge and its erosion among the Mien (Yao) in northern Thailand. Jethnopharmacol. 2009. https://doi.org/10.1016/j.jep.2009.02.035.

  58. 58.

    Betti JL. Vulnérabilité des plantes utilisées comme antipaludiques dans l’arrondissement de Mintom au Sud de la Réserve de Biosphère du Dja (Cameroun). Systematics and Geography of Plants. 2001. https://doi.org/10.2307/3668709.

  59. 59.

    Lazli A, Moncef B, Ghouri L, Nouri NEH. Étude ethnobotanique et inventaire des plantes médicinales dans la région de Bougous (Parc National d’El Kala,- Nord-est algérien). Bulletin de la Société Royale des Sciences de Liège. 2019; https://doi.org/10.25518/0037-9565.8429.

  60. 60.

    Hillery AM, Lloyd AW, Swarbrick J. Drug delivery and targeting for pharmacists and pharmaceutical scientists. Ed. Taylor & Francis. London: Taylor & Francis; 2001. p. 2387–268.

    Google Scholar 

  61. 61.

    Jean-François J. Synthèse et évaluation in vivo de microparticules d’hydrogel, Thèse doctorat, Université du Québec à Montréal; 2004. p. 266. Available on https://archipel.uqam.ca/794/1/D1158.pdf.

    Google Scholar 

  62. 62.

    Kwon GS. Polymeric drug delivery systems. Madison, Wisconsin, USA: Taylor & Francis; 2005. p. 273.

    Google Scholar 

  63. 63.

    Ngbolua KTN, Inkoto CL, Mongo NL, Masengo A, Masens YB, Mpiana PT. Étude ethnobotanique et floristique de quelques plantes médicinales commercialisées à Kinshasa, République Démocratique du Congo. Rev Mar Sci Agron Vét. 2019;7:118–28.

    Google Scholar 

  64. 64.

    Pfeiffer JM, and Ramona JB. Assessing cultural and ecological variation in ethnobiological research: the importance of gender. J Ethnobiol. 2005; doi: https://doi.org/10.2993/0278-0771(2005)25[240:ACAEVI]2.0.CO;2.

  65. 65.

    Lulekal E, Asfaw Z, Kelbessa E, Van Damme P. Ethnomedicinal study of plants used for human ailments in Ankober District, North Shewa Zone, Amhara Region, Ethiopia. J Ethnobiol Ethnomed. 2013. https://doi.org/10.1186/1746-4269-9-63.

  66. 66.

    Sillans R. Sur quelques plantes médicinales de l’Afrique centrale. Revue internationale de botanique appliquée et d’agriculture tropicale; 1951. https://doi.org/10.3406/jatba.1951.6761.

    Google Scholar 

  67. 67.

    Raymond-Hamet. Les Mitragyna et leurs alcaloïdes. Bull Se Pharma. 1933;11:593–600.

  68. 68.

    Ladoh Y, Vandi T, Dibong SD, Mpondo ME, Wansi J, Betti J. Choula, Fridolin & Din, Ndongo & Eyango, M. Étude ethnobotanique des plantes médicinales commercialisées dans les marchés de la ville de Douala, Cameroun. J Appl Biosci. 2016. https://doi.org/10.4314/jab.v99i1.11.

  69. 69.

    Dapar MLG, Alejandro GJD, Meve U, Liede-Schumann S. Quantitative ethnopharmacological documentation and molecular confirmation of medicinal plants used by the Manobo tribe of Agusan del Sur, J Ethnobiol Ethnomed. 2020. https://doi.org/10.1186/s13002-020-00363-7.

  70. 70.

    Sangare AB. Comportements en santé orale et déterminants du recours aux soins dans le département de Dabou-Côte d’Ivoire. Thèse de doctorat, Université Claude Bernard, Lyon I, 2011. 143p. Accessed on 2020-07-09. Available on https://tel.archives-ouvertes.fr/tel-00845002.

  71. 71.

    Compère P. La Carte des sols et de la végétation du Congo Belge et du Ruanda-Urundi: 25. Bas-Congo. Notice Explicative. Bruxelles: Publications de l’Institut National Pour l’Etude Agronomique Du Congo Belge (INEAC); 1970.

    Google Scholar 

  72. 72.

    Kimpouni V, Mamboueni JC, Tsoungould FGM, Elie Nsika Mikoko EN. Ethnobotanical and phytotherapeutic study from Kouni community of the sub-prefecture of Kayes (Bouenza – Congo). Heliyon; 2019. https://doi.org/10.1016/j.heliyon.2019.e02007.

    Google Scholar 

  73. 73.

    Leonti M, Cabras S, Castellanos ME, Challenger A, Gertsch J, Casu L. Bioprospecting: evolutionary implications from a post-Olmec pharmacopoeia and the relevance of widespread taxa. J Ethnopharmacol. 2013. https://doi.org/10.1016/j.jep.2013.02.012.

  74. 74.

    Jafarirad S, Ibrahim RI. Pharmaceutical ethnobotany in the Mahabad (West Azerbaijan) biosphere reserve: ethno-pharmaceutical formulations, nutraceutical uses and quantitative aspects. Brazilian J Pharmaceutical Sci. 2019. https://doi.org/10.1590/s2175-97902019000118133.

  75. 75.

    Gessler MC, Msuya DE, Nkunya MH, Schär A, Heinrich M, Tanner M. Traditional healers in Tanzania: sociocultural profile and three short portraits. J Ethnopharmacol. 1995. https://doi.org/10.1016/0378-8741(95)01295-O.

  76. 76.

    Asch S. L’Eglise du prophète Kimbangu: de ses origines à son rôle actuel au Zaïre, 1921-1981. Paris: Editions Karthala; 1983. p. 342.

    Google Scholar 

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Acknowledgements

We thank Ghent University, Kinshasa University, the Botanical Garden of Kisantu, the VlIR-UOS TEAM project in Buenze, Kongo University, and all phytotherapists for their noble contribution to this study.

Funding

The Fieldwork in Kisantu and Mbanza-Ngungu (DR Congo) was supported by the VlIR-UOS fund through the project to support traditional practitioners in the Cataracts (TEAM/ATTC-Mbanza-Ngungu). The published data were obtained in collaboration with Ghent University, Kongo University, Kinshasa University, Kisantu Botanical Garden, and the Association of Cataract Tradipractitioners.

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Contributions

Kibungu Kembelo Pathy carried out fieldwork, analyzed the data collected, and wrote the manuscript. Nzuki Bakwaye Flavien and Belesi Katula Honoré participated in the fieldwork and established contact with the respondents. They also participated with Belesi Katula Honoré and Van Damme Patrick in the design of the study and the writing of the manuscript. Wouter Vanhove and Patrick Van Damme critically reviewed and improved the first drafts of the manuscript. All authors have read and approved the final version of the manuscript.

Corresponding author

Correspondence to Kibungu Kembelo Pathy.

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Ethics approval and consent to participate

This ethnomedicinal study was approved by the Committee for Scientific Research of Kinshasa University, Faculty of Sciences. During our field investigations, all stakeholders in this study, including healers, local community of Kisantu and Mbanza-Ngungu territories, and all authors willingly agreed to participate in the study, use the data related to their knowledge and publish the results.

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Consent for publication has been obtained from the Scientific Research Committee of the University of Kinshasa, Faculty of Sciences, authors, and all stakeholders who participated in this study.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

Synoptic table of medicinal plants and their use in Kisantu and Mbanza-Ngungu territories. Available on https://data.mendeley.com/datasets/4cf2p3mgpc/1; DOI: 10.17632/4cf2p3mgpc.1.

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Pathy, K.K., Flavien, N.B., Honoré, B.K. et al. Ethnobotanical characterization of medicinal plants used in Kisantu and Mbanza-Ngungu territories, Kongo-Central Province in DR Congo. J Ethnobiology Ethnomedicine 17, 5 (2021). https://doi.org/10.1186/s13002-020-00428-7

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Keywords

  • Phytopharmacopeia
  • Medicinally important species
  • Use-value consensus
  • Informant knowledge
  • Cultural similarity
  • Kisantu
  • Mbanza-Ngungu