Usage of Traditional, Complementary and Alternative Medicine and Related Factors among Patients Receiving Healthcare in Lesotho
RESEARCH ARTICLE

Usage of Traditional, Complementary and Alternative Medicine and Related Factors among Patients Receiving Healthcare in Lesotho

The Open Public Health Journal 16 Mar 2022 RESEARCH ARTICLE DOI: 10.2174/18749445-v15-e2202090

Abstract

Background:

The use of Traditional, Complementary and Alternative Medicine (TCAM) is becoming apparent among many populations, particularly those suffering from chronic illnesses. Although this is a concern to clinicians, especially on safety and potential health risks, there is a paucity of data on TCAM usage and related factors among patients receiving healthcare in Lesotho.

Objective:

To determine the prevalence of TCAM usage and associated factors among patients receiving healthcare in a health facility in Lesotho.

Methods:

A cross-sectional study was conducted among 336 patients receiving healthcare in the Maseru district, Lesotho. A validated questionnaire was used to collect data on demographic and lifestyle factors, disease and treatment profile, treatment challenges, and TCAM usage, reasons/purpose, disclosure, healing system, duration, costs, sources and types. Multiple logistic regression analysis was used to ascertain any relationships with TCAM usage.

Results:

The response rate was 98%. The mean age of participants was 51±16years. Unemployment (63%) was high and, over half of the patients (59%) attained primary school education. Patients were mostly on treatment for sexually transmitted infections (42%), non-communicable diseases (30%) and comorbidities (19%), with 98% taking prescribed medication. TCAM usage was 15% with Traditional Herbal Medicine (THM) being the most widely used. Common THM were Dicoma Anomala, Eriocephalus Punctulatus, Aloiampelos Striatula, Artemisia Afra and Allium Sativum, obtained from the traditional healers (53%), followed by relative/friends (16%), pharmacists (13%), open market (12%), and accessed at low costs. TCAM was used to treat infectious (23%) and non-infectious (77%) diseases, but disclosure (7%) to healthcare workers was low. Multivariate analysis showed that TCAM usage was associated with self-employment AOR=6.3, 95%CI; 2.57-15.21, and being a student AOR=3.6, 95%CI; 0.99–12.71.

Conclusion:

THM was the most widespread type of TCAM among the study population in Lesotho. Prospective studies on TCAM usage are necessary to inform proper practice and safety in Lesotho.

Keywords: Traditional complementary and alternative medicine, Healthcare, Outpatients, Demographic and lifestyle factors, Lesotho, Patients, Dseases, Non-communicable diseases.

1. INTRODUCTION AND BACKGROUND

Healthcare in Lesotho is in the hands of the government, the private sector (churches and private surgeries), and civil society (traditional health practitioners), with the government support directed towards the Ministry of Health, excluding the private sector and civil society organizations [1]. The country continues to face an alarming double burden of disease, because of increases in the burden of infectious diseases (IDs), as well as, non-communicable diseases (NCDs) [2]. Lesotho has been using Traditional, Complementary and Alternative Medicine (TCAM) products from time immemorial [3]. The World Health Organization (WHO) defines TCAM as any diagnosis, treatment and prevention that are used in conjunction (complementary) or place (alternative) of standard medical treatment [4]. Studies in Lesotho have reported more on the use of medicinal plants or herbal medicine to treat conditions, such as HIV [5], wound care [6] and reproductive problems [7]. However, the impact of uncoordinated harvesting of medicinal plants is a serious concern to the environmentalists and the communities as a whole in the country [3]. Documented side effects due to concomitant use of TCAM products include gastrointestinal disturbances (nausea, vomiting, diarrhoea and abdominal pain), dizziness, headache and malaise [8-10].

In Africa, TCAM use is estimated at an average of 58.2%, ranging from 4.6% to 94% [11-13], and has long been widespread in developing countries with a considerable number of its population relying on TCAM to maintain their health or prevent and treat IDs and NCDs [14-16]. The push factors of TCAM use are mainly centered on the dissatisfaction with conventional healthcare [17]. This includes issues, such as long-distance to health facilities, unavailability of drugs, difficulty and inequity in accessing care, negative attitude of healthcare providers, long waiting time, lengthy procedures and fear of being diagnosed with a serious disease [18-21]. TCAM use is further motivated by the inability of conventional medicine to treat their diseases, control of symptoms, and management of drug side effects believed to be due to lack of knowledge on the potential dangers for concurrent use of TCAM with conventional medicines [22, 23]. Additionally, healthcare costs are perceived to be too much, even for state-run hospitals and clinics, where consultation and treatment are assumed subsidized [24]. To solve the problem of a drug shortage or high cost in part, many health-oriented ministries are now encouraging the use of local medicinal plants for disease treatment [24]. The lack of health care systems in rural areas forces local people to treat themselves, either by using medicinal plants or by buying high-cost medicine in the rural markets or still further, going for cheap roadside medication, predisposing themselves to health dangers caused by the unknown source of these poor medications [25].

In Africa, including Lesotho, South Africa, Uganda, and Northern Morocco, Traditional Herbal Medicine (THM) is the most common TCAM healing system used for treating chronic diseases, mainly HIV, some medical conditions that occur during pregnancy [5, 26-28] and later, against COVID-19 [29]. Individuals adopt TCAM to prevent or treat common diseases, such as flu and common cold, headaches, indigestion and stomach problems [30]. Furthermore, TCAM products are used by patients to treat NCDs, hypertension and diabetes [31, 32], as well as asthma [33] and paediatric conditions [34]. Literature further reports a high use of TCAM among patients with cancer in Sub-Saharan Africa (SSA) [35, 36]. Then, follow faith-based healing methods (prayer/spirituality), and mind-body therapies (massage, traditional bone setting relaxation, mediation and yoga) [37]. Homoeopathy as a TCAM modality has been reported in various African countries among university staff (South Africa) [17], prayer/spirituality mode among patients with HIV/AIDS (Nigeria and South Africa) [38, 39] and massage among cancer patients (Ghana) [36].

Several sociodemographic factors, including age, gender, marital status, and level of education, health status, income status religion and ethnicity, have been associated with TCAM use [37]. Studies conducted in urban or semi-urban areas have reported TCAM use among younger individuals [40, 41], while in the rural areas, TCAM users are older [42]. Other studies have reported TCAM use to be common among individuals with little or no formal education [40, 43], and those who are married [9] than those who are not married [40]. Another study reported that TCAM users were likely to be Christians compared to other religions [41]. On the other hand, no significant correlations between the sociodemographic characteristics of the respondents and TCAM use have been reported [44]. Other researchers have indicated contrasting results for other factors such as gender and religion [9, 45]. Both male and females have been reported to use TCAM alike [9], while no difference have been observed on TCAM use by religion [45].

The use of TCAM is a concern to clinicians, especially, on safety and potential health risks [22, 36]. Concerns that simultaneous use of conventional medicines and TCAM exposes people to pharmacokinetic and pharmacodynamics interactions have been reported, which could lead to decreased effectiveness, toxicity and non-adherence to conventional medicines [22, 36]. It is well documented that pharmacokinetic or pharmacodynamics are herb-drug interactions and may alter the concentration of a therapeutic drug in the blood, which results in the potentiated or decreased action of drugs [46, 47].

Despite these concerns, it seems as if there is a limited commitment to advise patients to ensure maximum treatment outcomes and limit complications associated with TCAM usage, such as alterations in therapeutic efficacy and/or potential toxicities. Additionally, there is a paucity of data on TCAM usage and related factors among patients receiving healthcare in a health facility in Lesotho, except for the few studies that have been conducted on medicinal plants [5-7]. Because of this, the study aimed to determine the prevalence of TCAM usage and associated factors among patients receiving healthcare in a health facility in Lesotho. Considering the high utilisation of TCAM across SSA [37], it becomes pertinent to find out how common the usage is in this clinic in Lesotho, to judge whether a suitable response needs to be formulated.

2. MATERIALS AND METHODS

2.1. Study Design, Population and Setting

A cross-sectional study was conducted in a hospital in Maseru District, Lesotho, during November 2019 and March 2020. Lesotho is located in Southern Africa and it is surrounded by South Africa [3]. Maseru District is the capital town of Lesotho, with a population of approximately 430,000. Three hospitals are forming an integral part of the Maseru District health system and permission to conduct the study was requested for the three hospitals, but we only received permission to access one hospital, which is a middle-sized of the three hospitals with 156 beds. The hospital is located 45 kilometres south of Maseru District and serves twenty-six villages with a population of approximately 12000. An estimated 77% of the Basotho (local people of Lesotho) population live in rural areas without a reachable healthcare facility [48].

2.2. Sample Size and Sampling

Raosoft calculator was used to calculate a sample size taking into consideration an approximated 2000 outpatients during the study period, a 5% margin of error and a confidence level of 95%. A sampling took place at least three days (two weekdays and one weekend day) in the first and the third weeks of every month, from November 2019 to March 2020. Patients were recruited in the morning while they were in a queue in the waiting area to be called in. Recruitment took place as patients were coming in and out of the waiting area. The minimum sample size was calculated as 323 and we recruited 336 outpatients. A convenience sample of patients was drawn from those queuing in the waiting area for the morning clinic, patients being enrolled according to their availability and accessibility at the time of the study. The inclusion criteria considered outpatients receiving care at the hospital, aged 18 years and above, and able to give consent to participate in the study. The study disregarded inpatients in the wards, outpatients who were below the age of 18 years and outpatients who did not agree to participate.

2.3. Data Collection Instruments and Procedures

A self-administered structured and validated questionnaire was adapted from previous studies [22, 39, 49, 50] and used to collect data, with the help of the main researcher, when patients experienced challenges with questions. The questionnaire was structured into sections, namely; demographic factors (such as age, gender, marital status, and education and employment status) and lifestyle factors (i.e., smoking and alcohol use), disease and treatment profile, treatment challenges, and TCAM usage, reasons/purpose, disclosure, healing system, duration, costs, sources and types.

The questionnaire was validated through content and face validity and a pilot study. Content validity was ensured through the coverage of relevant constructs of interest in the questionnaire to be measured. Face validity was achieved by phrasing the questions in a suitable way that is clear for the participants and was ensured by the questions matching the constructs to be measured. Independent translators who speak Sesotho as their mother tongue and are conversant with English did forward and backward translations of the questionnaire. During translation, the independent translator paid attention to the way Basotho viewed or interpreted the underlying meaning of certain items, such as diseases. No difficulty in translation terms was experienced from English to Sesotho. However, there was a careful consideration to ensure alignment of the tool with the culture of Basotho, as Pena [51] advises on methodological considerations for translations. An expert committee approved the final version of the translated questionnaire [52].

To make sure that the translated items retained the same meaning as the original items and to ensure that there was no confusion regarding the translated questionnaire, a pilot study was conducted to pretest the questionnaire and determine its feasibility [52]. A pilot study was conducted among 15 patients who did not form part of the study, and the results were not included in the data analysis for the main study. After pretesting the questionnaire, there were no changes to the content except for minimal clarity of wording, and simplifying layout and style.

2.4. Data Analysis

Data were analysed using STATA 14 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX, USA). Descriptive statistics (frequencies, percentages) were used to summarize data and inferential statistics were used to study the associations of TCAM and THM usage, with demographic variables, using a Chi-square test/Fisher’s exact. Further relationships of TCAM and THM usage with selected variables were done through univariate and multivariate logistic regression analyses. The purposeful selection process began with a univariate analysis of each variable, and any variable having a significant univariate test at p-value <0.2 was selected as a candidate for the multivariate analysis. Adjusted odds ratios (AOR) with a 95% confidence interval (CI) were generated and used to determine the independent strength of the relationship. Significance was considered at p < 0.05.

3. RESULTS

3.1. Characteristics of Participants

Three hundred and thirty-six patients were eligible to participate in the study with 146 (43%) males and 190 (57%) females. The response rate was 98%. Table 1 shows the characteristics of participants, with a mean age of 51±16years. Almost two-thirds of the participants were married and 63% were unemployed. Most participants had primary school education (59%), while 22% had a secondary school education, and few had tertiary education (10%). Smoking (13%) and alcohol use (17%) were also observed among the patients.

Table 1.
Characteristics of participants.
Variables Categories Frequency (n) Percentages (%)
Age (years) <30
30 – 39
40 49
≥ 50
40
47
66
183
12
14
20
54
Gender Male
Female
146
190
43
57
Marital Status Single
Married
Widowed
Divorced
53
209
16
58
16
62
5
17
Employment Employed
Self-employed
Unemployed
Student
80
29
213
14
24
9
63
4
Education Primary school
Secondary school
High school
Tertiary
199
73
31
33
59
22
9
10
Smoking Yes
No
44
292
13
87
Alcohol Use Yes
No
58
278
17
83

3.2. Disease and Treatment Profiles and Healing System

Participants were being treated for sexually transmitted diseases (STIs) 141 (42%), followed by NCDs 100 (30%). Other participants indicated that they were having comorbidities, 63 (19%), such as a combination of NCDs, or a combination of STIs and NCDs. Most of the participants disclosed that they were on prescribed medication (98%), and the participants preferred to disclose the use of prescribed medication to siblings (82%), and lesser to parents (9%), and friends and family members (9%). Patients indicated that their treatment challenges were mostly due to long queues (45%), shortage of medication (27%) and travel costs to the hospital (25%), nonetheless, 95% indicated satisfaction with treatment. Out of the 52 who reported using TCAM, 85% were using THM as a healing system, followed by faith-based healing system (13%) (Table 2).


Table 2.
Disease and treatment profiles of participants.
Variables n %
Disease treated
STIs
NCDs
Comorbidities
Others

141
100
63
32

42
30
19
9
Disclosed of use of prescribed medicine
No
Yes

7
329

2
98
To whom did you disclose use of prescribed medicine?
Siblings
Parents
Friends and family members

275
30
31

82
9
9
Satisfied with treatment
No
Yes

17
319

5
95
Do you have challenges receiving treatment
No
Yes

265
71

79
21
Type of challenges experienced
Long queues
Shortage of medicine
Transport and consultation costs
Other

32
19
18
2

45
27
25
3
Healing system of TCAM used
THM
Faith-based religion
Chinese medicine
Ayurvedic medicine
Other, not mentioned above

44
7
1
0

85
13
2
0

3.3. TCAM use, Reasons, Types and Sources

Table 3 shows that 15% (n=52) reported use of TCAM with an average duration of 31±68 days from a minimum of two days to a maximum of 365 days, at the time of the study. Most participants were using TCAM encouraged by relatives and friends, as well to treat infectious (23%) and non-infectious diseases (77%). Among TCAM users, the most used system was THM, namely Dicoma Anomala (Hloenya), Eriocephalus Punctulatus (Sehala hala Matlaka), Aloiampelos Striatula (Mohalakane) Allium Sativum (konofolo), Artemisia Afra (Lengana), and others included 14 medicinal plants used less frequently. Participants indicated that they got the above-mentioned medicine mostly from the traditional healers (53%), relatives and friends (16%), pharmacists (13%) and open market (12%). Ninety-four percent (94%) indicated that they have spent ≤7.36 USD to access TCAM from various sources. Most participants (94%) indicated that the amount spent to buy TCAM was not higher than the cost of prescribed medication, while only 6% indicated otherwise.

3.4. Disclosure of TCAM use to HCWs, Interaction and Counselling

Out of those who reported TCAM usage, very few (7%) disclosed use to HCWs. Over half (58%) of the participants reported that it was not important to report the use of TCAM to HCWs, while 26% did not disclose because they were told not to use TCAM, and only a few indicated that it was due to fear of HCWs (9%) and poor communication (7%). Half (50%) of the participants reported that they did not know whether there is an interaction of TCAM use with medication, yet 90% reported to have been counselled on mixing treatment (Table 4).

Table 3.
TCAM use, reasons, types, sources and costs among participants.
Variables n %
TCAM use
Yes
No

52
284

15
85
Duration of TCAM use
Average (days)
One month
One week
One year
Two days
Two weeks
Three weeks

31±68
21
25
2
1
2
1

40
48
4
2
4
2
What led to use of TCAM
Encouraged by relative and friends
Was feeling weak/medication did not help
Ran out medication
It’s our practice

40
4
4
4

76
8
8
8
Why are you using TCAM
Infectious diseases
Non-infectious diseases

12
40

23
77
Types of African THM
Dicoma Anomala (Hloenya)
Eriocephalus Punctulatus (Sehala hala Matlaka)
Aloiampelos Striatula (Mohalakane)
Allium Sativum (Konofolo)
Artemisia Afra (Lengana)
Helichrysum Caespititium (Phate ea Ngaka)
Bulbine Narcissifolia (Khomo ea Balisa)
Other

13
7
7
5
5
3
3
14

23
12
12
9
9
5
5
25
Source of TCAM
Traditional healers
Relative/friends
Pharmacist
Open market
Individual selling
Garden

28
8
7
6
2
1

53
16
13
12
4
2
Amount spent to access TCAM
≤7.36 USD
>7.36 USD

49
3

94
6
Amount spent on TCAM higher than prescription amount
Yes
No

3
49

6
94
Table 4.
Disclosing TCAM use to HCWs and counseling on mixing treatment.
Variables n %
Disclosure of TCAM use to HCWs
No
Yes

43
9

83
7
Reasons for not disclosing use of TCAM to HCWs
Not important
Was told not to use, but I keep on using them
Fear of HCWs
Poor communication

25
11
4
3

58
26
9
7
TCAM use interact with medication
No
Yes
Don’t know

27
6
21

39
11
50
Counselled on mixing treatment with TCAM
No
Yes

34
302

10
90

3.5. TCAM use and Associated Factors

In Table 5, employment status (≤0.0001) and alcohol use (≤0.0001) were associated with TCAM use. No significant association was observed between TCAM and several demographics, as well as the disease treated.

Table 5.
Association of TCAM use with selected independent variables.
Variables All
n=336
TCAM non-users
n=284
TCAM users
n=52
P-value
Age (Yars)
<30
30-39
40-49
≥50

40
47
66
183

29 (73)
41 (87)
54 (82)
160 (87)

11 (28)
6 (13)
12 (18)
23 (13)

0.101
Gender
Females
Males

190
146

161 (85)
123 (85)

29 (15)
23 (15)

0.902
Marital Status
Single
Married
Divorced
Widowed

53
209
16
58

46 (87)
172 (82)
13 (81)
53 (91)

7 (13)
37 (18)
3 (19)
5 (9)

0.360
Education level
Primary school
Secondary school
High school
Tertiary education

199
73
31
33

174 (87)
60 (82)
24 (77)
26 (79)

25 (13)
13 (18)
7 (23)
7 (21)

0.305
Employment status
Unemployed
Self-employed
Student
Employed

213
29
14
80

193 (91)
17 (59)
10 (71)
64 (80)

20 (10)
12 (41)
4 (29)
16 (20)

≤0.0001**
Smoking
No
Yes

292
44

250 (80)
34 (77)

42 (14)
10 (23)

0.154
Alcohol use
No
Yes

278
58

244 (89)
40 (69)

34 (12)
18 (31)

≤0.0001*
Diseases Treated
NCDs
STIs
Comorbidities
Other

100
141
63
32

89 (31)
116 (4)
56 (20)
23 (8)

11 (21)
25 (48)
7 (14)
9 (117)

0.075
*significant difference (p<0.05).

Table 6.
Association of TCAM and THM usage with selected variables.
Variables AOR 95%CI P-value
TCAM usage
Employment status 1[Reference]
Unemployed
Employed 2.0 0.96 – 4.19 0.066
Self-employed 6.3 2.57 – 15.21 ≤0.001*
Student 3.6 0.99 – 12.71 0.051*
Alcohol use 1[Reference]
No
Yes 2.8 1.38 – 5.58 0.004*
Variables AOR 95%CI P-value
THM usage
Employment status 1[Reference]
Unemployed
Employed 2.4 1.11 – 5.10 0.027*
Self-employed 5.1 1.88 – 13.76 0.001*
Student 3.1 0.74 – 12.55 0.122
Alcohol use 1[Reference]
No
Yes 2.9 1.42 – 6.16 0.004*
*Significant difference (p<0.05).

Univariate analysis (unadjusted) showed that at p<0.20, TCAM usage was associated with age (40-49years and ≥50years), an education level (high school), employment status (being a self-employed, student and employed) and alcohol use. While THM usage was associated with age (≥50years), education level (high school), employment status (being self-employed, student and employed), smoking and alcohol use (results not shown). In Table 6, the adjusted model showed that self-employed participants were 6.3 times more likely [AOR=6.3, 95%CI; 2.57 – 15.21], and students were 3.6 times more likely [AOR=3.6, 95%CI; 0.99 – 12.71] to use TCAM than the unemployed, while alcohol users were 2.8 times more likely [AOR=2.8, 95%CI; 1.38 – 5.38] to use TCAM than non-users. Similar to THM usage, employed participants were 2.4 times more likely [AOR=2.4, 95%CI; 1.11 – 5.10] and self-employed participants were 5.1 times more likely [AOR=5.1, 95%CI; 1.18 – 13.76] to use THM than the unemployed, while alcohol users were 2.9 times more likely [AOR=2.9, 95%CI; 1.42-6.16] to use THM than non-users.

4. DISCUSSION

This study determined the prevalence of TCAM usage and related factors among patients receiving healthcare in a health facility in Maseru District, Lesotho. Poor sociodemographic status in terms of education and employment status was observed. About 57% of the people are living below the national poverty line in Lesotho [53], with an unemployment rate estimated at 25,3%, roughly the same as South Africa's unemployment rate (25.2%) reported in the first quarter of 2013 [54], but now has increased to 32.5%, according to Statistics South Africa [55]. Despite gains made in the past two decades in improving education access rates, Lesotho continues to suffer from high dropout rates at the primary level and poor access rates at the secondary level, particularly in the rural areas [56], in addition, to gender discrimination reported in the country, concerning education access [57]. Therefore, depressed socioeconomic status is still evident in Lesotho.

Most participants in this study were taking treatment for STIs, NCDs, comorbidities, and were on prescribed medication. Lesotho is highly affected by the HIV pandemic [58] and the country has an estimated adult HIV prevalence rate of about 23% and a high burden of NCDs [59]. Studies in Lesotho have reported a 42% of the patients living with HIV had at least one NCD [60], as well as hypertension, estimated at 35%, and diabetes at 2.5% [61]. Research on the management of STIs and NCDs has reported that 90% of the patients have received a combination of antihypertensive therapy [62] and 32% of patients having NCDs were on antiretroviral therapy [60]. Coexistence and management of STIs and NCDs have been confirmed in Lesotho [60], similar to South Africa [63, 64]. As well, tobacco and alcohol use have been reported in Lesotho [65, 66] and South Africa [67], lifestyle factors reported in the current study. Similar to other sub-Saharan countries, Lesotho is also experiencing its share on the convergence of IDs and NCDs, in addition to unhealthy lifestyle factors.

Our study showed a low prevalence of TCAM usage among patients receiving healthcare in Maseru, Lesotho. Almost a similar lower than 10% prevalence of TCAM use has been reported in several African countries, such as South Africa [40], and Ethiopia [11]. On the other hand, a high prevalence of TCAM use has been reported in South Africa, among patients attending primary health care facilities in KwaZulu Natal [49], while Peltzer et al. [39] reported 51.3% of TCAM use in the same province (KwaZulu Natal) and 29.6% reported to use herbal therapies. Variabilities in study designs, recall periods and seasonal variations in disease frequency and the associated choice of treatment options may have influenced the prevalence of TCAM use in various countries, settings and population [37]. In addition, the method of data collection, and the type of sample chosen affect the prevalence estimates [68]. Under-reporting of TCAM use based on several reasons like the community's belief that traditional practice is an unlawful act or high prevalence of illnesses is believed to be treatable by modern care [11], which might be the case in the current study. Therefore, it could be that the participants in the current study did not want to tell the researchers that they were using TCAM because they were aware that the facility disapproves concurrent use of TCAM with western treatment.

The current study also observed a very low disclosure rate of TCAM use to HCWs. This might impact negatively on the prevalence estimate in this population, considering that medicinal plants are used extensively in Lesotho, especially for the treatment of STIs [48]. In SSA, the non-disclosure rate of TCAM use to healthcare providers ranged from 55.8% to 100%, with an average of 83.0% [37]. Reasons for non-disclosure of TCAM usage by patients in this study were because they were told not to use TCAM, fear of HCWs, and poor communication. Fear of receiving improper care has been reported as the main reason for not disclosing their TCAM use status to their healthcare provider [69]. Another reason for the non-disclosure of TCAM use was the conventional medicine provider’s negative attitude with perceived lack of support and understanding that lead to mistrust and stigma from conventional providers in Nigeria [70] and South Africa [71]. Patients in other countries, such as in Ethiopia was that their conventional healthcare providers lack knowledge about TCAM was another reason for not divulging their TCAM use status [35]. Healthcare providers’ lack of enquiry about TCAM use was also cited among patients in Nigeria [8]. Given the potential for adverse reactions and drug interactions related to TCAM use, health care providers' awareness of TCAM use is crucial to optimize patient care [72]. Hence, health care providers should be informed about this to include inquiring about herbal and TCAM use for both HIV-related illnesses and other comorbid conditions as part of their history taking and clinical assessments, as Langlois-Klassen et al. [27] have suggested.

The vast majority of patients in our study reported a high degree of satisfaction with the medical treatment they were receiving, similar to the findings in a study of Petzer et al. [39] in South Africa. However, treatment challenges due to long queues, shortage of medication and travel costs to the hospital were reported in this study, similar to other studies in Ghana [20], Uganda [19, 21] and Nigeria [18]. In the rural areas, one sometimes travels for several days before finding the nearest dispensary and pharmacy or health clinic for consultation. In addition to losing working days, transport fares the high cost of medicine must also be taken into consideration [24].

THM was a widely used healing type of TCAM system in this study, which might be centered on the dissatisfaction with conventional healthcare [17]. The current study further showed that the most used THM were Dicoma Anomala, Eriocephalus Punctulatus, Aloe Ferox mill, Allium Sativum and Artemesia Afra. In Lesotho, a considerable proportion (69.9%) of HIV-positive people use medicinal herbs, and Allium sativum and Dicoma Anomala, have been reported to be the most commonly used medicinal herbs in this population [5]. Allium sativum is known to pharmacokinetically reduce the serum concentration of protease inhibitors (PIs), such as saquinavir and indinavir [27, 73]. Dicoma Anomala has been reported as an inhibitor of cytochrome-P enzymes and may interact with drugs that use these cytochrome-P enzymatic pathways [5, 74]. In addition, the use of Aloiampelos Striatula and Bulbine narcissifolia reported in the current study have been previously reported in Lesotho for the treatment of several ailments [6]. Similar to South African studies, traditional medicines such as Aloe ferox mill, Hypoxis hemerocallide (i.e. African potato) and Aloe vera have been reported to be used to meet primary health care needs [75, 76]. These results suggest the possibility of the interaction between TCAM usage, especially with THM, and conventional medicine, considering the high use of THM, while half of the participants did not know whether there is an interaction of TCAM use with conventional medication. This poses a serious concern in this facility because the use of THM is implicated to decreased effectiveness, toxicity and non-adherence to conventional medicines, although the use of TCAM was low in this study.

The sources of these medicinal plants reported in this study were mostly traditional healers, followed by friends/relatives, pharmacists and open market. Traditional healers remain popular because they are accessible, affordable, adaptable and culturally familiar, and thus acceptable and respected in the wider community [3]. Herbalists and traditional healers in Lesotho continue to dispense a wide range of topical herbal medicinal preparations for various treatments [5, 7, 48, 60], while the role of the pharmacist is to provide medical information on these compounds to promote the safe use of herbal products in combination with conventional medicine [6]. These medicinal plants were used to treat ailments, such as IDs and non-IDs, includings STIs, hypertension, body discomfort, bile, and flu in our study. Adoption of TCAM by individuals to prevent or treat common diseases, such as flu and common cold, headaches, indigestion and stomach problems, has been reported in Africa [30]. TCAM products have been utilized to treat NCDs, such as hypertension and diabetes in South Africa [31], and Guinea [32], as well as, cancer [8, 36], asthma [33], and HIV/AIDS [5, 39, 71]. The fact that medicinal plants are still viewed as the most cost-effective and accessible therapy by many rural dwellers in Lesotho cannot be denied, as mentioned before [6]. Our findings suggested low costs for TCAM, which was indicated to be lower than purchasing prescribed medication.

Chi-square and univariate analyses showed that age, education level, employment status, smoking and alcohol use were associated with TCAM and THM usage. These results might reflect access issues among the older persons, as well as the cultural significance of some TCAM modalities. Although contrary results exist on education as a predictor of TCAM, in this study, the more educated participants seem to be using TCAM. This could be because participants were more likely to be able to afford TCAM, as well as their prescribed medications. On the other hand, in the adjusted model, both TCAM and THM usage was associated with employment and alcohol use. Self-employed participants were 6.3 times more likely, while students were 3.6 times more likely to use TCAM than the unemployed were. This might be because these participants, especially those who were self-employed, had income, which allowed them to buy the product than the unemployed.

Similarly, with THM usage, employed participants were 2.4 times more likely, while self-employed participants were 5.1 times more likely, to use THM than the unemployed. This also indicates the possibility of income enabling them to purchase THM, same as the above suggestion. In addition, the participants might have had access to herbal medicines freely from the bush. Literature documents that generally, Basotho are knowledgeable on the usage of numerous medicinal plants in the treatment of various disorders [77, 78].

Age, gender, marital status, and level of education, health status, income status, religion and ethnicity have been associated with TCAM use [37], including a lower socioeconomic status [40, 78] and those who are unemployed and unskilled [40, 41] when compared with non-users. Both males and females have been reported to use TCAM alike [9]. In rural areas, TCAM use is associated with older age [42]. Literature documents that TCAM users reported in many studies to be more common in individuals with a lower socioeconomic status [9, 40]. Other studies have reported TCAM users to have little or no formal education [40, 42]. Alcohol users were 2.8 times more likely to use TCAM than non-users, while alcohol users were 2.9 times more likely to use THM than non-users. Data on TCAM usage and lifestyle factors, such as tobacco and alcohol use is limited.

4.1. Limitations of the Study

The current study had some limitations. First, the data came from a survey in one health facility limited by permission to access the other two hospitals in the district, which would not be representative of the entire population of patients seeking healthcare in Lesotho. Additionally, the findings may not be generalizable to the general population because this study used hospital patients. Second, the cross-sectional study design did not permit an investigation of the cause-effect relationship between TCAM usage and related factors. Third, many of the findings were self-reported, which might have led to under-reporting; hence, these variables should be interpreted with caution. Fourth, convenience sampling might have introduced some form of bias. Probably it would be suitable if we could have used a larger sample size than what we have used in the current study, to give greater relevance to the variability of TCAM usage. Finally, recall bias might have limited patients to report on some questions related to TCAM usage, or they may not have revealed the real extent of TCAM usage mainly. This might be due to social desirability, or fear of disclosing to a researcher, since very few versus many disclosed TCAM usage to HCWs. In addition, the fact that the first author (TM) is an HCW in this facility and was in charge of project management, including data collection, might have encouraged non-disclosure and under-reporting from the participants. This might be the case with the use of dichotomous questions in this study. Studies with follow-up design are needed to determine the association of TCAM usage and demographic factors and diseases in Lesotho. However, the study has shed light on TCAM usage and related factors among patients receiving healthcare in a hospital in Maseru District, Lesotho.

CONCLUSION

TCAM usage appears relatively low in the study population. However, the THM system was widespread and this emphasizes the substantial role as a source of basic healthcare in the study populations in Lesotho. This study reported several medicinal plants used by patients for treatment. Stakeholders involved in healthcare should be mindful of the critical role of TCAM usage in healthcare service delivery in Lesotho. Prospective cohort studies on TCAM usage are urgently required to provide information regarding proper practice, safety, efficiency and harmonized healthcare in the country. Furthermore, it is worrying that most participants in this study reported have been counselled on the use of TCAM, yet a significant number did not know or consider TCAM to interact with medication.

In addition, patients’ disclosure rate of TCAM usage to HCWs was low and this warrants concern over communication between patients who are using TCAM, and their healthcare providers. Barriers to the disclosure of TCAM usage should be established, as well, HCWs need to improve communication with patients as a routine. The facility should be less harsh on TCAM use and encourage patients to disclose exactly what they are using so that they can be advised over whether there is a conflict between the prescribed and herbal medications they are taking. The study further showed associations of TCAM usage among participants who were employed and using alcohol, in addition to other factors, such as older age and high school education level. It is clear that although Western medicine is generally accepted throughout Africa, it has not replaced, but rather augmented indigenous health approaches, concurring with Mushapa et al. [3].

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

All procedures involving human subjects were approved by the sefako makgatho health sciences university research and ethics committee [SMUREC/H/22/2019: PG], South Africa. Further permissions to conduct the study were obtained from the Lesotho Ministry of Health (REF: ID169-2019), and the governance of a hospital used in this study.

HUMAN AND ANIMAL RIGHTS

No animals were used in this research. All human research procedures were followed in accordance with the ethical standards of the committee responsible for human experimentation (institutional and national), and with the Helsinki Declaration of 1975, as revised in 2013.

CONSENT FOR PUBLICATION

Written informed consent was obtained from each participant before the study.

STANDARDS OF REPORTING

STROBE guidelines and methodologies were followed in this study.

AVAILABILITY OF DATA AND MATERIALS

The data supporting the findings of the article is available from the corresponding author [P.M.] upon reasonable request.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

The author would like to thank the Lesotho Ministry of Health for permitting us to conduct the study. We are also grateful to the management of the hospital used in this study and the participants for their cooperation to participate in the study.

REFERENCES

1
WHO Mental Health Atlas. LESOTHO: Department of mental health and substance abuse 2011; 1-4.
2
WHO. LESOTHO: Department of mental health and substance abuse 2009. Available from: www. who. int/ countryfocus/
3
Masupha P, Thamae L, Phaqane M. Analysis of Traditional Healers in Lesotho: Implications on Intellectual Property Systems. African Technology Policy Studies (ATPS) Working paper 68 2013.
4
WHO. WHO Traditional Medicine Strategy 2014‐2023 2013. Available from: https://www.who.int/medicines/publications/traditional/trm_strategy14_23/en/
5
Mugomeri E, Chatanga P, Chakane N. Medicinal herbs used by HIV-positive people in Lesotho Afr. J Tradit Complement Altern Med 2016; 13(4): 123-31.
6
Hlokoane OK, Sello M. Antimicrobial wound healing properties of indigenous medicinal plants of Lesotho and the pharmacist's role in minor wound care. S Afr Pharm J 2021; 88(1): 33a-e.
7
Moteetee A, Seleteng Kose L. Medicinal plants used in Lesotho for treatment of reproductive and post reproductive problems. J Ethnopharmacol 2016; 194: 827-49.
8
Ezeome ER, Anarado AN. Use of complementary and alternative medicine by cancer patients at the University of Nigeria Teaching Hospital, Enugu, Nigeria. BMC Complement Altern Med 2007; 7(1): 28.
9
Okoronkwo I, Onyia-Pat J-L, Okpala P, Agbo M-A, Ndu A. Patterns of complementary and alternative medicine use, perceived benefits, and adverse effects among adult users in Enugu Urban, Southeast Nigeria. Evid-Based Complement Alternat Medi 2014; 2014
10
Tchacondo T, Karou SD, Batawila K, et al. Herbal remedies and their adverse effects in Tem tribe traditional medicine in Togo. Afr J Tradit Complement Altern Med 2011; 8(1): 45-60.
11
Flatie T, Gedif T, Asres K, Gebre-Mariam T. Ethnomedical survey of Berta ethnic group Assosa Zone, Benishangul-Gumuz regional state, mid-west Ethiopia. J Ethnobiol Ethnomed 2009; 5(1): 14.
12
Gari A, Yarlagadda R, Wolde-Mariam M. Knowledge, attitude, practice, and management of traditional medicine among people of Burka Jato Kebele, West Ethiopia. J Pharm Bioallied Sci 2015; 7(2): 136-44.
13
Nsagha DS, Ayima CW, Nana-Njamen T, Assob JCN. The role of traditional, complementary/alternative medicine in primary healthcare, adjunct to universal health coverage in cameroon: A review of the literature. Amer J Epidemiol Infect Dis 2020; 8(1): 37-47.
14
Bannerman RH, Burton J, Wen-Chieh C. Traditional medicine and health care coverage; A reader for health administrators and practitioners 1983.
15
Kasilo OMJ, Nikiema JB, Ota M, Desta A, Touré B. Enhancing the role of traditional medicine in health systems: A strategy for the African Region. Afr Health Monit 2013; 18(November): 40-3.
16
Kim I-G, So W-Y, Sung DJ. The relationships between lifestyle factors and hypertension in community-dwelling Korean adults. J Phys Ther Sci 2015; 27(12): 3689-92.
17
van Staden AM, Joubert GB. Interest in and willingness to use complementary, alternative and traditional medicine among academic and administrative university staff in Bloemfontein, South Africa. Afr J Tradit Complement Altern Med 2014; 11(5): 61-6.
18
Aderibigbe SA, Agaja SR, Bamidele JO. Determinants of utilization of traditional bone setters in Ilorin, north central Nigeria. J Prev Med Hyg 2013; 54(1): 35-40.
19
Rutebemberwa E, Lubega M, Katureebe SK, Oundo A, Kiweewa F, Mukanga D. Use of traditional medicine for the treatment of diabetes in Eastern Uganda: A qualitative exploration of reasons for choice. BMC Int Health Hum Rights 2013; 13(1): 1.
20
Aziato L, Antwi HO. Facilitators and barriers of herbal medicine use in Accra, Ghana: An inductive exploratory study. BMC Complement Altern Med 2016; 16(1): 142.
21
Mwaka AD, Okello ES, Orach CG. Barriers to biomedical care and use of traditional medicines for treatment of cervical cancer: An exploratory qualitative study in northern Uganda. Eur J Cancer Care (Engl) 2015; 24(4): 503-13.
22
Peltzer K, Friend-du Preez N, Ramlagan S, Fomundam H, Anderson J. Traditional complementary and alternative medicine and antiretroviral treatment adherence among HIV patients in Kwazulu-Natal, South Africa. Afr J Tradit Complement Altern Med 2009; 7(2): 125-37.
23
Sheikhrabori A, Dehghan M, Ghaedi F, Khademi GR. Complementary and alternative medicine usage and its determinant factors among diabetic patients: An iranian case. J Evid Based Complementary Altern Med 2017; 22(3): 449-54.
24
Fokunang CN, Ndikum V, Tabi OY, et al. Traditional medicine: Past, present and future research and development prospects and integration in the National Health System of Cameroon. Afr J Tradit Complement Altern Med 2011; 8(3): 284-95.
25
Ndhlala AR, Amoo SO, Stafford GI, Finnie JF, Van Staden J. Antimicrobial, anti-inflammatory and mutagenic investigation of the South African tree aloe (Aloe barberae). J Ethnopharmacol 2009; 124(3): 404-8.
26
Malangu N. Self-reported use of traditional, complementary and over-the-counter medicines by HIV-infected patients on antiretroviral therapy in Pretoria, South Africa. Afr J Tradit Complement Altern Med 2007; 4(3): 273-8.
27
Langlois-Klassen D, Kipp W, Jhangri GS, Rubaale T. Use of traditional herbal medicine by AIDS patients in Kabarole District, western Uganda. Am J Trop Med Hyg 2007; 77(4): 757-63.
28
Illamola SM, Amaeze OU, Krepkova LV, et al. Use of herbal medicine by pregnant women: What physicians need to know. Front Pharmacol 2020; 10(1483): 1483.
29
Benkhaira N, Saad I, Fikri Benbrahim K. Ethnobotanical survey on plants used by traditional healers to fight against COVID-19 in Fez city, Northern Morocco. Ethnobot Res Appl 2021; 21
30
Mahomoodally MF. Traditional medicines in Africa: An appraisal of ten potent african medicinal plants. Evid Based Complement Alternat Med 2013; 2013617459
31
Hughes GD, Aboyade OM, Clark BL, Puoane TR. The prevalence of traditional herbal medicine use among hypertensives living in South African communities. BMC Complement Altern Med 2013; 13(1): 38.
32
Baldé NM, Youla A, Baldé MD, et al. Herbal medicine and treatment of diabetes in Africa: An example from Guinea. Diabetes Metab 2006; 32(2): 171-5.
33
Adeyeye O, Onadeko B, Ogunleye O, Bamisile R, Olubusi A. The use of complementary and alternative medicine by asthma patients receiving care in an urban tertiary centre in Nigeria. Int J Biol Med Res 2011; 2(4): 1026-30.
34
Oshikoya KA, Senbanjo IO, Njokanma OF, Soipe A. Use of complementary and alternative medicines for children with chronic health conditions in Lagos, Nigeria. BMC Complement Altern Med 2008; 8(1): 66.
35
Erku DA. Complementary and alternative medicine use and its association with quality of life among cancer patients receiving chemotherapy in Ethiopia: A cross-sectional study. Evidence-Based Complementary and Alternative Medicine 2016; 2016
36
Yarney J, Donkor A, Opoku SY, Yarney L, Agyeman-Duah I, Abakah AC, et al. Characteristics of users and implications for the use of complementary and alternative medicine in Ghanaian cancer patients undergoing radiotherapy and chemotherapy: A cross- sectional study. BMC Complement Altern Med 2013; 13: 16.
37
James PB, Wardle J, Steel A, Adams J. Traditional, complementary and alternative medicine use in Sub-Saharan Africa: A systematic review. BMJ Glob Health 2018; 3(5)e000895
38
Oshikoya KA, Oreagba IA, Ogunleye OO, Hassan M, Senbanjo IO. Use of complementary medicines among HIV-infected children in Lagos, Nigeria. Complement Ther Clin Pract 2014; 20(2): 118-24.
39
Peltzer K, Preez NF, Ramlagan S, Fomundam H. Use of traditional complementary and alternative medicine for HIV patients in KwaZulu-Natal, South Africa. BMC Public Health 2008; 8(1): 255.
40
Nxumalo N, Alaba O, Harris B, Chersich M, Goudge J. Utilization of traditional healers in South Africa and costs to patients: findings from a national household survey. J Public Health Policy 2011; 32(1)(Suppl. 1): S124-36.
41
Usifoh S, Udezi A. Social and economic factors influencing the patronage and use of complementary and alternative medicine in Enugu. J Pharm Bioresour 2013; 10(1): 17-24.
42
Chintamunnee V, Mahomoodally MF. Herbal medicine commonly used against non-communicable diseases in the tropical island of Mauritius. J Herb Med 2012; 2(4): 113-25.
43
Pouliot M. Relying on nature’s pharmacy in rural Burkina Faso: Empirical evidence of the determinants of traditional medicine consumption. Soc Sci Med 2011; 73(10): 1498-507.
44
Bamidele JO, Adebimpe WO, Oladele EA. Knowledge, attitude and use of alternative medical therapy amongst urban residents of Osun State, southwestern Nigeria. Afr J Tradit Complement Altern Med 2009; 6(3): 281-8.
45
Opara EO, Kenneth K. Factors affecting utilization of herbal medicine as livelihood alternatives among residents of imo state: The role of social work professionals. J Humanit Soc Sci 2016; 21(5): 66-78.
46
Chen X-W, Sneed KB, Pan SY, et al. Herb-drug interactions and mechanistic and clinical considerations. Curr Drug Metab 2012; 13(5): 640-51.
47
Hussain MS. Patient counseling about herbal-drug interactions. Afr J Tradit Complement Altern Med 2011; 8(5)(Suppl.): 152-63.
48
Seleteng-Kose L, Moteetee A, Van Vuuren S. Medicinal plants used for the treatment of sexually transmitted infections in the Maseru District, Lesotho: Antimicrobial validation, phytochemical and cytotoxicity studies. S Afr J Bot 2019; 122: 457-66.
49
Maphophe TS. An analysis of the use of african traditional medicine by adult patients attending a primary health care clinic in durban, kwazulu-natal. Durbna, South Africa: University of Kwazulu-Natal 2013.
50
Mugalura AM. prevalence and factors associated with use of traditional medicine among hiv positive clients in Mubende District, Uganda. Uganda: Makerere University 2012.
51
Peña ED. Lost in translation: Methodological considerations in cross-cultural research. Child Dev 2007; 78(4): 1255-64.
52
Tsang S, Royse CF, Terkawi AS. Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi J Anaesth 2017; 11(Suppl 1): S80-s9.
53
UNICEF World Bank. Lesotho Public Health Sector Expenditure Review. World Bank, Washington, DC © World Bank 2017. Available from: https://openknowledge.worldbank.org/handle/10986/29344
54
shalem. unemployment biggestproblem for Basotho, who also endorse illegal migration toget jobs. Afrobarometer Briefing Paper No 119 2013.2021. Available from: https://afrobarometer.org/sites/default/files/publications/Briefing%20paper/afrobriefno119.pdf
55
Reuters Staff. South Africa’s unemployment rate jumps to new record high. Reuters 2021. Available from: https://www.reuters.com/article/us-safrica-economy-unemployment-idUSKBN2AN0S1
56
Nyabanyaba T. Improving the quality of educationamong rural learners through the use of open and flexible approaches in lesotho’s secondary schools. Council for the Development of Social Science Research in Africa 2015; 13(1&2): 111-31.
57
Makatjane T. Poverty, gender and education in lesotho. Review of Southern African Studies 2011; 5
58
Corno L, Berman S, Bjorkman Nyqvist M, Svensson J, de Walque D. Prevalence of sexually transmitted infections and co-infection rates with HIV among youth in Lesotho. World Bank report 2010.
59
Government of Lesotho. Lesotho – Demographic and Health Sur-vey 2009 2009.
60
Mugomeri E, Khama P, Seshea P, Bekele B, Mojai S, Maibvise C, et al. The occurrence and quality of care of non-communicable diseases in people living with HIV in Maseru, Lesotho: A mixed-methods study. HIV AIDS Rev 2017; 16: 1-8.
61
Government of lesotho lesotho – demographic and health survey 2011.
62
Thinyane KH, Mothebe T, Sooro M, Namole LD, Cooper V. An observational study of hypertension treatment and patient outcomes in a primary care setting. Pan Afr Med J 2015; 20: 424.
63
Modjadji P. Communicable and non-communicable diseases coexisting in South Africa. Lancet Glob Health 2021; 9(7): e889-90.
64
Wong EB, Olivier S, Gunda R, et al. Convergence of infectious and non-communicable disease epidemics in rural South Africa: A cross-sectional, population-based multimorbidity study. Lancet Glob Health 2021; 9(7): e967-76.
65
Dickson KS, Ahinkorah BO. Understanding tobacco use and socioeconomic inequalities among men in Ghana, and Lesotho. Arch Public Health 2017; 75(1): 30.
66
Hayes-Larson E, Hirsch-Moverman Y, Saito S, et al. Depressive symptoms and hazardous/harmful alcohol use are prevalent and correlate with stigma among TB-HIV patients in Lesotho. Int J Tuberc Lung Dis 2017; 21(11): 34-41.
67
Modjadji P, Pitso M. Maternal tobacco and alcohol use in relation to child malnutrition in gauteng, south africa: A retrospective analysis. Children 2021; 8(2): 133.
68
Kalton G, Anderson DW. Sampling rare populations. J R Stat Soc [Ser A] 1986; 149(1): 65-82.
69
Hughes GD, Puoane TR, Clark BL, Wondwossen TL, Johnson Q, Folk W. Prevalence and predictors of traditional medicine utilization among persons living with AIDS (PLWA) on antiretroviral (ARV) and prophylaxis treatment in both rural and urban areas in South Africa. Afr J Tradit Complement Altern Med 2012; 9(4): 470-84.
70
Asuzu CC, Elumelu-Kupoluyi T, Asuzu MC, Campbell OB, Akin-Odanye EO, Lounsbury D. A pilot study of cancer patients’ use of traditional healers in the Radiotherapy Department, University College Hospital, Ibadan, Nigeria. Psychooncology 2017; 26(3): 369-76.
71
Puoane TR, Hughes GD, Uwimana J, Johnson Q, Folk WR. Why HIV positive patients on antiretroviral treatment and/or cotrimoxazole prophylaxis use traditional medicine: Perceptions of health workers, traditional healers and patients: a study in two provinces of South Africa. Afr J Tradit Complement Altern Med 2012; 9(4): 495-502.
72
Furler MD, Einarson TR, Walmsley S, Millson M, Bendayan R. Use of complementary and alternative medicine by HIV-infected outpatients in Ontario, Canada. AIDS Patient Care STDS 2003; 17(4): 155-68.
73
Nagata JM, Jew AR, Kimeu JM, Salmen CR, Bukusi EA, Cohen CR. Medical pluralism on Mfangano Island: Use of medicinal plants among persons living with HIV/AIDS in Suba District, Kenya. J Ethnopharmacol 2011; 135(2): 501-9.
74
Müller AC, Kanfer I. Potential pharmacokinetic interactions between antiretrovirals and medicinal plants used as complementary and African traditional medicines. Biopharm Drug Dispos 2011; 32(8): 458-70.
75
Babb DA, Pemba L, Seatlanyane P, Charalambous S, Churchyard GJ, Grant AD. Use of traditional medicine by HIV-infected individuals in South Africa in the era of antiretroviral therapy. Psychol Health Med 2007; 12(3): 314-20.
76
Street RA, Prinsloo G. Commercially important medicinal plants of south africa. Rev J Chem 2013; 2013205048
77
Balogun FO, Tshabalala NT, Ashafa AOT. Antidiabetic medicinal plants used by the basotho tribe of eastern free state: A review. J Diabetes Res 2016; 2016: 4602820.
78
Mee P, Wagner RG, Gómez-Olivé FX, et al. Changing use of traditional healthcare amongst those dying of HIV related disease and TB in rural South Africa from 2003 - 2011: A retrospective cohort study. BMC Complement Altern Med 2014; 14(1): 504.