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. 2022 Dec;22(4):695–703. doi: 10.4314/ahs.v22i4.76

Traditional medicine trade and uses in the surveyed medicine markets of Western Kenya

Willy Kibet Chebii 1, John Kaunga Muthee 2, James Karatu Kiemo 3
PMCID: PMC10117521  PMID: 37092072

Abstract

Background

There exist vast traditional medicine and herbal remedies prescribed for diseases and socio-cultural ills that are sold in local medicine markets.

Objectives

To assess the common traditional medicine traded in the local medicine markets and used for treating common diseases.

Methods

The study was carried out in nine purposively selected medicine markets spread out in seven administrative counties of Western Kenya. Purposive sampling with elements of snow ball method was employed in the identification of willing respondents. In addition, face to face interviews were conducted with the aid of a pre-tested semi-structured questionnaire that sought to extract a targeted and expertise information from the respondents.

Results

The survey recorded 45 commonly traded plant families composed of 78 genera and 87 medicinal plant species. Meliaceae, Apocynaceae and Fabaceae were leading plant families whereas Trichilia emetica, Azadirachta indica, Dregea schimperi and Aloe spp. were commonly traded.

Conclusion

Traditional medicine traded in the local medicine markets continue to play a significant role in the treatment of common diseases. Frequently traded medicinal plant species should be prioritized for conservation.

Keywords: Traditional Medicine, Common disease treated, Medicine markets

Introduction

Traditional medicine (TM) is a subset of ethnomedicine and it encompasses natural local resources including medicinal plants in the treatment of various diseases and socio-cultural ills or syndromes. Up to 80% of people in the developing world use TM as a source of primary health care due to a wider belief that they are affordable, safe, easy to use, involve simple market prescriptions, ease of access by urban and per-urban populations. The high costs of modern medicine limit access to allopathic medicine.

The resurgence of interest in TM has been largely attributed to the challenges experienced in the treatment of chronic diseases using allopathic medicine, for instance, diabetes, hypertension, HIV/AIDS, and cancer. TM trade is key in the promotion of socio-economic, cultural and environmental benefits and also in supporting lives and livelihoods of the practitioners, collectors and major stakeholders in the sector. Few TMPs of the Western Kenya rely wholly on the TM trade, some ply the trade as an additional source of income. The earnings are generally modest and may not cover most of their financial needs. Some TMPs practice TM trade as a family business since it is largely inherited from close family relatives. TM trade also serves as a source of revenue to the county governments through collection of market levies. It has been documented that only seven (7) out of thirty (30) most frequently species in the Northern Kenya has been estimated to account for an annual volume of 5,500 kg valued at an annual retail value of US$ 25,900.00. Regionally, Ghana and Gabon have registered impressive annual retail values of US$ 7.8 million and US$ 1.5 million respectively1. Therefore, the economic importance of trade in medicinal plants cannot be underestimated. However, this resurgence of trade in TM is hampered by the modern and ever changing human lifestyles2,3.

There exists a myriad of TM used in the treatment of diseases and socio-cultural ills, most of which are not documented. From the market surveys, disease identification and terminologies are mostly referred in local languages and are translated into their equivalent modern disease terminologies in order to clearly understand the nature and complexity of the TM trade4. Herbal remedies are mostly consumed to promote good health and well-being. Consumption of these herbal remedies at an individual level has been linked to socio-demographic factors, for instance, education and finance5. This study provides a documentation of the commonly traded medicine sold in the local markets and used in the treatment of common diseases afflicting the population in Western Kenya region. The study will use the Economic Botany Data Collection Standard (EBDCS) in the broad classification of diseases and also capture the specific disease citations from the TMPs68.

Materials and methods

Study area and Selection criteria

The study was carried out in nine (9) selected medicine markets located in seven (7) counties in the Western Kenya region namely: Kitale and Moi's Bridge (Trans Nzoia County), Makutano (West Pokot County), Eldoret (Uasin Gishu County), Arror and Kaptabuk (Elgeyo Marakwet County), Kakamega market (Kakamega County), Luanda (Vihiga County) and Yala in Siaya County. Comprehensive description of the study area, socio-demographic, edaphic and cultural characteristics has been documented4. All the medicine market sites and locations were purposively selected following guidance and recommendations from Cultural Officers at the Department of Culture and professional advice from the elected officials at the National Traditional Health Practitioners' Association (NATHEPA). The sampling GPS coordinates of the medicine market locations were recorded using a Garmin etrex 20x and were used to generate a map representation of the sampled medicine markets using the Q GIS Software (Figure 1).

Figure 1.

Figure 1

Sampled medicine markets of the Western Kenya region namely: Eldoret, Makutano, Kitale, Moi's Bridge, Arror, Kakamega, and Yala and Luanda.

Data collection

The study used a non-probability purposive or judge-mental sampling where the sample selected was knowledgeable on the set study objective, reliable, and expressed willingness to share information on their expertise. This desired sampling method is a subset of convenience sampling and is also termed an expert purposive sampling method that is objective, specific and therefore primarily targeted traditional medicine practitioners' (TMPs) plying their trade at local medicine markets. This non-probability form of sampling also provides opportunity for useful generalizations in a theoretical, analytical or logical nature9. In that regard, and based on the research objective, all the thirty (n=30) TM traders who were willing to share expertise information were interviewed. This was after procuring oral prior informed consents from all the willing respondents10. Additional oral interview approvals was obtained from the appointed medicine market leadership endorsed by the market traders. However, most medicine markets lacked an elected or appointed leadership but rather operated from an informal market arrangement setting. The study was conducted as per the set guidelines and protocols of the University of Nairobi doctoral studies https://erc.uonbi.ac.ke/ (Ref. No. UoN/ECS/9/1/21 and supported by oral prior informed consents of the willing TM traders. This was done in accordance to all social interviews devoid of human experiments as outlined by study objectives. Important inclusion and exclusion criteria observed in the research design is summarized in Table 1.

Table 1.

Consideration of Inclusion and Exclusion criteria in the survey

Inclusion criteria Exclusion criteria
The interviewed TMPs must be practicing in the
surveyed medicine market
There will be no conditional
tokenism, bribery or corruption
Willingness to freely participate in the survey Coercion
Sharp focus on the experts and expertise information Apprenticeship
Acquisition of an oral prior informed consent Unwillingness to freely participate
Cultural awareness Quackery

Face-to-face Interviews with TM traders were conducted with the aid of a pre-tested and a liberal semi-structured questionnaire that sought to extract a targeted and expertise information from the respondents11. The original questionnaire was written in English language and translated into Swahili language by the faculty at the Department of Linguistics, Languages and Literature based at the University of Nairobi for fieldwork purposes. The oral interviews were conducted simultaneously alongside structured market surveys and informed observations as from February 2019 to September 2019. Medicinal plant parts traded that expressed clear morphological and/or floral characters were properly identified by plant taxonomists at the University of Nairobi Herbarium (NAI). Strict emphasis was placed on the standard binomial nomenclature and herbarium techniques in handling both for fresh plant specimens and carpological materials10, 1216. Due to low literacy levels of most TMPs, interviews were conducted predominantly in the Swahili national language whereas traded medicinal plants were recorded in dominant vernacular languages. All the scientific names of the medicinal plants were authenticated, validated and verified using https://www.tropicos.org/ and http://www.theplantlist.org/ online botanical databases.

Data analysis

The importance of medicinal plant species in the sampled medicine markets was evaluated using frequency of citations or mentions by the interviewed TMPs.

Relative Frequency of Citation (RFC) was used to quantitatively determine the local importance of the identified species using the formula RFC = FC/N; 0<RFC<1 where FC represents the Frequency of Citation or mentions by each respondent and N denotes the total number of the respondents who participated in the interview. The use of FC was predominantly favoured in the survey since it positively and significantly correlates with number of uses of medicinal plants as reflected by various plant use categories17,18. IUCN status of the frequently cited medicinal plant species were assessed and placed in their respective IUCN Red List Criteria Version 3:119. All the data was collated and processed in Microsoft Excel and summarized using descriptive statistics (frequency, mean, and percentages) and presented on tables, figures and graphs.

Results

Socio-demographic characteristics of the TM traders in Western Kenya

Women TMPs dominated the TM trade in the surveyed markets of Western Kenya and composed of 57% and the remainder were male TMPs. Overall, the average age of the TM traders was 61 years with a mean of 24 years of experience in the TM trade. The individual age of TM traders varied from 30 to 85 years with the practicing experience ranging from 2 to 48 years (Table 2). TM traders with elementary or primary level of education (n=17; 57%) dominated the TM markets.

Table 2.

Socio-demographic, ethnic representation and distribution of the TM Traders in the selected markets of Western Kenya

County Medicine
market
surveyed
(Number
interviewed)
Sex
representation
Ethnic (Sub-tribal
affiliation)
Uasin Gishu
County
Eldoret (n=6) 4 Females Kalenjin (Marakwet)
1 Male Kalenjin (Marakwet)
1 Female Kalenjin (Keiyo)
Trans Nzoia
County
Kitale (n=5) 1 Male Mijikenda/Swahili
1 Male Turkana
3 Males Luhya (Bukusu)
Moi's Bridge
(n=1)
1 Male Maasai
West Pokot
County
Makutano
(n=3)
3 Females Kalenjin (Pokot)
Elgeyo
Marakwet
County
Arror (n=2) 1 Female Kalenjin (Marakwet)
1 Male Kalenjin (Marakwet)
Kaptabuk
(n=1)
1 Female Kalenjin (Marakwet)
Kakamega
County
Kakamega
(n=5)
4 Males Luhya
1 Female Luhya
Vihiga County Luanda (n=6) 5 Females Luhya
1 Male Luhya
Siaya County Yala (n=1) 1 Female Luo/Luhya

Only 40% of the TM traders had acquired the secondary level of education and only one practitioner had attained a tertiary education level.

Medicinal plants frequently traded

From the identified taxa, forty-five (45) medicinal plant families were commonly traded in the surveyed medicinal markets of Western Kenya. Species comprising the Meliaceae family (n=22, 12%) dominated the medicinal markets followed by Apocynaceae (n=19, 10%), Fabaceae (n=17, 9%), Rutaceae (n=10, 5%), and Euphorbiaceae (n=10, 5%) respectively. Other traded plant families collectively represented 41% of the traded TM plant species. A total of 78 genera and 87 medicinal plant species were also recorded, with Trichilia emetica (RFC=0.37), Azadirachta indica (RFC= 0.27), Dregea schimperi (RFC=0.27), Aloe spp. (RFC= 0.23) and Carissa spinarum (RFC= 0.23) ranked in order of local importance (Table 3). Trichilia emetica was commonly traded in the Kakamega, Luanda and Yala medicine markets whereas Dregea schimperi was mostly traded in the Eldoret and Arror medicine markets. Prunus africana (n=4, 2%) was marketed as a cure for prostate cancer and as a natural boost for male virility. Noticeably, Tylosema fassoglense (n=4, 2%) was a dominant tuber on medicinal market displays. Notable food crop and local vegetables that were traded as medicine include the Cassava plant (Manihot esculenta), African spider flower plant (Cleome gynandra), and African Black Nightshade (Solanum nigrum). The tree growth form (46%) was the leading plant habit exploited for medicine followed by shrubs (22%), climbers (16%) and herbs (11%).

Table 3.

The frequency of citations (FC) and Relative Frequency of Citations (RFC) of the most traded medicinal plants in the surveyed Western Kenya region

SN Name of medicinal
plant species
Frequency of
citation
Relative
frequency of
Citation
1 Trichilia emetica 11 0.37
2 Azadirachta indica 8 0.27
3 Dregea schimperi 8 0.27
4 Aloe spp. 7 0.23
5 Carissa spinarum 7 0.23
6 Erythrina abyssinica 5 0.17
7 Warburgia ugandensis 5 0.17
8 Zanthoxylum chalybeum 5 0.17
9 Prunus africana 4 0.13
10 Tylosema fassoglense 4 0.13
11 Bridelia micrantha 3 0.10
12 Capparis tomentosa 3 0.10
13 Clerodendrum myricoides 3 0.10
14 Ekebergia capensis 3 0.10
15 Maerua decumbens 3 0.10
16 Salvadora persica 3 0.10
17 Terminalia brownii 3 0.10
18 Ziziphus mauritiana 3 0.10
19 Cucumis aculeatus 3 0.10
20 Solanum incanum 2 0.07

Roots (32%) were the commonly traded plant parts followed by barks (24%) and leaves (21%). A combination of twigs and leaves constituted 4% of the most sought medicinal plant parts. Other plant parts that were of importance but less traded included the fruits (1%), tuberous rootstock (1%), flowers (1%), oils (1%) and resins (1%). The commonly traded medicine plant species were invaluable in the treatment of 59 common diseases and socio-cultural ills. The leading disease ailment treated was Stomach-ache and stomach related infections (9%) followed by typhoid (7%), malaria (6%), ulcers (5%), high blood pressure (5%) and infertility (5%). (Figure 2). Following the broader diseases classification using the EBDCS system, it was apparently clear that digestive system and gastrointestinal disorders are the frequently treated disease category followed by genito-urinary infections.

Figure 2.

Figure 2

The commonly treated diseases using traded medicinal plants in the Western Kenya TM markets.

IUCN Status of frequently traded species

According to the 2001 IUCN Red List categories, version 3.1 , Warburgia ugandensis which represented 3% of mostly traded medicinal plant species is classified as Endangered (EN), whereas Carissa spinarum (4%) and the Red Stinkwood (Prunus africana) were described as Endangered (EN) and Vulnerable (VU) respectively. The leading traded species of Trichilia emetica (6%), Erythrina abyssinica (3%), Zanthoxylum chalybeum (3%), and Azadirachta indica (4%) were categorized as of Least Concern (LC).

Discussion

The basic validation of TM trade can be quantified by the number and presence of experienced and knowledgeable TMPs who have mastered their trade and exude confidence in the eyes of TM clients. The TMPs recorded a mean of 24 years of practice demonstrating how rich the TM markets are with traditional medicine knowledge. A vibrant TM trade and the growing demand for TM presents a picture of the marketability of the medicinal plant species, and also indicate the volume and quantities harvested20. The medicine markets represent different cultures and diverse ethnic extractions as demonstrated by the diverse floristic composition of the medicinal plants and their diverse applications21.

Men and women TMPs have been found to express specific gender roles. However, women and older participants have demonstrated more know-how in plant use22, 23 space ordination23. Similar research findings have also reported that most TMPs have basic or elementary level of education but display great mastery of TM knowledge4. Folk ethno-taxonomy have characterized the TM markets where the locals use vernacular names of the medicinal plant species were commonly used. The main challenge of folk taxonomy is the ever-changing local taxonomy even within a similar ethnic grouping24. To mitigate this taxonomic challenge and folk taxonomy variation, authenticated scientific names were applied. The TM industry has grown over the years and has even integrated and naturalized exotic medicinal plant species, for instance, Azadirachta indica (native to the Indian subcontinent) and Aloe spp. Recent ethnobotanical study of the Marakwet community of Western Kenya region support the findings that most traditional medicinal plants are used in the treatment of stomach-ache, diarrhoea, chest pains and typhoid25. Some research findings have expressed highest informant consensus factor for gastrointestinal system and digestive disorders have also been reported4, 26.

According to the IUCN Red List database (https://www.iucnredlist.org/species/), Warburgia ugandensis which represented 3% of mostly traded medicinal plant species is classified as Critically Endangered (CR), whereas Carissa spinarum (4%) and the Red Stinkwood (Prunus africana) were described as Endangered (EN) and Vulnerable (VU) respectively. The leading traded species of Trichilia emetica (6%), Erythrina abyssinica (3%), Zanthoxylum chalybeum (3%), and Azadirachta indica (4%) were all found to be of Least Concern (LC). Carissa spinarum shrub has been reported as one of the most frequently traded species in Marsabit and Moyale traditional medicine markets of the Northern Kenya2.

Conclusion

Traditional medicine trade provides a platform of establishing the frequently traded species and the diseases treated. Apparently, the aging TMPs and the reluctance of the younger and educated persons from embracing TM may pose a big challenge in the transfer of TM knowledge. Women practitioners have dominated the trade and the markets have also demonstrated gendered medicine roles. The ranking and prioritization of taxa enables the conservation of the frequently traded medicinal plant species, for instance, Trichilia emetica, Azadirachta indica, Dregea schimperi, Carissa spinarum and the tuberous Tylose ma fassoglense. The increased use of roots and barks and mostly extracted from the tree habit or growth form should be efficiently to guarantee sustainability of the trade and practice. Close attention should be directed to curing digestive and genito-urinary diseases. Finally, the authorities should use sound and credible publications to crack down on the sale of red listed and threatened medicinal plant species.

Acknowledgement

I am greatly indebted to my two academic supervisors (Dr. John Muthee and Dr. Karatu Kiemo) for the full support and guidance throughout the study period.

Authors' contribution

Conceptualization of the study and the refinement of the idea and editing the manuscript1, 2, 3

Identification of the plant materials1

Writing of the manuscript and the major correspondent1

Disclosure statement

The authors declare no competing interests.

References

  • 1.Delbanco AS, Burgess ND, Cuni-Sanchez A. Medicinal plant trade in northern Kenya: economic importance, uses, and origin. Economic Botany. 2017;71(1):13–31. [Google Scholar]
  • 2.Kaigongi M, Musila F. Ethnobotanical study of medicinal plants used by the Tharaka people of Kenya. International Journal of Ethnobiology and Ethnomedicine. 2015;1(1):1–8. [Google Scholar]
  • 3.Chebii WK, Muthee JK, Kiemo K. The governance of traditional medicine and herbal remedies in the selected local markets of Western Kenya. J Ethnobiology Ethnomedicine. 2020;16:39. doi: 10.1186/s13002-020-00389-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Miara MD, Teixidor-Toneu I, Sahnoun T, Bendif H, Hammou MA. Herbal remedies and traditional knowledge of the Tuareg community in the region of Illizi (Algerian Sahara) Journal of Arid Environments. 2019;167:65–73. [Google Scholar]
  • 5.Fjær EL, Landet ER, McNamara CL, Eikemo TA. The use of complementary and alternative medicine (CAM) in Europe. BMC Complementary Medicine and Therapies. 2020;20:1–9. doi: 10.1186/s12906-020-02903-w. SEM. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gruca M, Cámara-Leret R, Macía M J, Balslev H. New categories for traditional medicine in the Economic Botany Data Collection Standard. Journal of Ethnopharmacology. 2014;155(2):1388–1392. doi: 10.1016/j.jep.2014.06.047. [DOI] [PubMed] [Google Scholar]
  • 7.Cook F E. Economic botany data collection standard. Royal Botanic Gardens (Kew) 1995 [Google Scholar]
  • 8.Staub P O, Geck M S, Weckerle C S, Casu L, Leonti M. Classifying diseases and remedies in ethnomedicine and ethnopharmacology. Journal of Ethnopharmacology. 2015;174:514–519. doi: 10.1016/j.jep.2015.08.051. [DOI] [PubMed] [Google Scholar]
  • 9.Sharma G. Pros and cons of different sampling techniques. International journal of applied research. 2017;3(7):749–752. [Google Scholar]
  • 10.Bussmann RW, Zambrana NYP, Huanca LAM, Hart R. Changing markets-medicinal plants in the markets of La Paz and El Alto, Bolivia. Journal of ethnopharmacology. 2016;193:76–95. doi: 10.1016/j.jep.2016.07.074. [DOI] [PubMed] [Google Scholar]
  • 11.Hilton CE. The importance of pretesting questionnaires: a field research example of cognitive pretesting the Exercise referral Quality of Life Scale (ERQLS) International Journal of Social Research Methodology. 2017;20(1):21–34. [Google Scholar]
  • 12.Ijaz F, Iqbal Z, Rahman IU, Alam J, Khan SM, Shah GM, Afzal A. Investigation of traditional medicinal floral knowledge of Sarban Hills, Abbottabad, KP, Pakistan. Journal of Ethnopharmacology. 2016;179:208–233. doi: 10.1016/j.jep.2015.12.050. [DOI] [PubMed] [Google Scholar]
  • 13.Kamau LN, Mbaabu PM, Mbaria JM, Gathumbi PK, Kiama SG. Ethnobotanical survey and threats to medicinal plants traditionally used for the management of human diseases in Nyeri County, Kenya. TANG. 2016;6(3):23–37. [Google Scholar]
  • 14.Kebebew M. Diversity, knowledge and use of medicinal plants in Abay Chomen District, Horo Guduru Wollega Zone, Oromia Region of Ethiopia. Journal of Medicinal Plants Research. 2017;11(31):480–500. [Google Scholar]
  • 15.Meke GS, Mumba RFE, Bwanali RJ, Williams VL. The trade and marketing of traditional medicines in southern and central Malawi. International Journal of Sustainable Development & World Ecology. 2016 [Google Scholar]
  • 16.Rasethe MT, Semenya SS, Maroyi A. Medicinal Plants Traded in Informal Herbal Medicine Markets of the Limpopo Province, South Africa. Evidence-Based Complementary and Alternative Medicine. 2019 doi: 10.1155/2019/2609532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Hilonga S, Otieno JN, Ghorbani A, Pereus D, Kocyan A, de Boer H. Trade of wild-harvested medicinal plant species in local markets of Tanzania and its implications for conservation. South African Journal of Botany. 2019;122:214–224. [Google Scholar]
  • 18.Suwardi AB, Navia ZI, Harmawan T, Mukhtar E. Ethnobotany and conservation of indigenous edible fruit plants in South Aceh, Indonesia. Biodiversitas Journal of Biological Diversity. 2020;21(5) [Google Scholar]
  • 19.IUCN, author. IUCN Red List Categories and Criteria: Version 3.1. IUCN Species Survival Commission. Gland, Switzerland and Cambridge, UK: IUCN; 2001. p. 30. [Google Scholar]
  • 20.Ghosh C. Ethnobotanical survey in the Bamangola Block of Malda District, West Bengal (India): II. Medicinal and Aromatic plants. East Himalayan Society for Spermatophyte Taxonomy. Pleione. 2017;11(2):249–267. [Google Scholar]
  • 21.Gakuya DW, Okumu MO, Kiama SG, Mbaria JM, Gathumbi PK, Mathiu PM, Nguta JM. Traditional medicine in Kenya: past and current status, challenges and the way forward. Scientific African. 2020:e00360. [Google Scholar]
  • 22.Umair M, Altaf M, Bussmann RW, Abbasi AM. Ethnomedicinal uses of the local flora in Chenab riverine area, Punjab province Pakistan. Journal of ethnobiology and ethnomedicine. 2019;15(1):7. doi: 10.1186/s13002-019-0285-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bussmann RW, Zambrana NYP, Sikharulidze S, Kikvidze Z, Kikodze D, Tchelidze D, Hart RE. An ethnobotany of Kakheti and Kvemo Kartli, Sakartvelo (Republic of Georgia), Caucasus. Ethnobotany Research and Applications. 2020;19:1–27. [Google Scholar]
  • 24.Otieno J, Abihudi S, Veldman S, Nahashon M, van Andel T, de Boer HJ. Vernacular dominance in folk taxonomy: a case study of ethnospecies in medicinal plant trade in Tanzania. Journal of ethnobiology and ethnomedicine. 2015;11(1):10. doi: 10.1186/1746-4269-11-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wanjohi BK, Sudoi V, Njenga EW, Kipkore WK. An ethnobotanical study of traditional knowledge and uses of medicinal wild plants among the Marakwet Community in Kenya. Evidence-Based Complementary and Alternative Medicine. 2020 doi: 10.1155/2020/3208634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Amjad MS, Zahoor U, Bussmann RW, Altaf M, Gardazi SMH, Abbasi AM. Ethnobotanical Survey of Medicinal Flora of Harighal, Azad Jammu & Kashmir, Pakistan. Journal of Ethnobiology and Ethnomedicine. 2020;16:65. doi: 10.1186/s13002-020-00417-w. [DOI] [PMC free article] [PubMed] [Google Scholar]

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