Available online on 15.12.2023 at http://jddtonline.info

Journal of Drug Delivery and Therapeutics

Open Access to Pharmaceutical and Medical Research

Copyright  © 2023 The  Author(s): This is an open-access article distributed under the terms of the CC BY-NC 4.0 which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited

Open Access  Full Text Article                                                                                                                                                       Research Article

Prevalence and Determinants of Complementary and Alternative Medicine (CAM) Use Among Subjects with Diabetes Mellitus (DM) in a Tertiary Institution in South East Nigeria

Michael Chinweuba Abonyi *1 Chidiebele Malachy Ezeude 2 Valentine Chidiebere Ugwueze 3 , Chidinma Brenda Nwatu 4Marcellinus Okafor Nkpozi 5 , Ekenechukwu Esther Young 4 

  1. Department of Internal Medicine, College of Medicine, Enugu State University, Enugu, Nigeria
  2. Department of Internal Medicine, College of Health Sciences, Nnamdi Azikiwe University, Nnewi, Nigeria
  3. Endocrine, Diabetes and Metabolism Unit, Department of Internal Medicine, Alex Ekwueme Federal University, Abakaliki Ebonyi State, Nigeria
  4. Department of Internal Medicine, College of Medicine, University of Nigeria Nsukka
  5. Department of Internal Medicine, Abia State University, Uturu, Nigeria

Article Info:

____________________________________________

 Article History:

Received 26 Sep 2023      

Reviewed 02 Nov 2023

Accepted 24 Nov 2023  

Published 15 Dec 2023  

____________________________________________

Cite this article as: 

Abonyi MCEzeude CMUgwueze VC, Nwatu CBNkpozi MO, Young EE, Prevalence and Determinants of Complementary and Alternative Medicine (CAM) Use Among Subjects with Diabetes Mellitus (DM) in a Tertiary Institution in South East Nigeria, Journal of Drug Delivery and Therapeutics. 2023; 13(12):15-21

DOI: http://dx.doi.org/10.22270/jddt.v13i12.6046                                                ____________________________________________

*Address for Correspondence:  

Dr. Abonyi Michael Chinweuba. Department of Internal Medicine, College of Medicine, Enugu State University, Enugu, Nigeria.     

Abstract

___________________________________________________________________________________________________________________

Background: There is limited data on the use of complementary and alternative medicine (CAM) among patients with diabetes mellitus (DM) in Nigeria. This study aims to examine the prevalence, types, and determinants of CAM use among T2DM patients in Southeast Nigeria.

Methods: This is a cross-sectional study of 250 diabetic patients who attended the DM clinic in a tertiary institution in South East Nigeria. Each participant completed a questionnaire which had sections on demography, diabetes-related information, and CAM use details. Data collated was analyzed using SPSS version 26.0 for windows.

Results: The prevalence of CAM use in this study was 34%. After adjustment; the logistic regression results showed that CAM use was significantly associated with age, and place of residence. The most commonly used type of CAM by participants were bitter leaf (Vernonia amygdalina) (56.5%), followed by bitter cola (Garcinia kola) (47%), scent leaf (African basil) (40%), moringer (20%), utazi (Gongronema latifolium) 17.7%), and aloe vera (7.1%) before the rest. The majority of CAM users were referred to use CAM by friends (68.2%), family members (25.9%), or media (14.1%). Most subjects (75.5%) used CAM concurrently with orthodox medications and only 32.9%% knew the constituents of the CAM they were using. However, gender, marital status, occupation, educational level, income, and DM duration did not significantly associate with CAM use in this study.

Key words. Complementary and Alternative Medicine. Diabetes Mellitus

Conclusions: The prevalence of CAM use was high among diabetics. Further studies to isolate and purify the constituents responsible for the anti-glycemic activity of each compound may be needed in the future.

 


 

INTRODUCTION:

Diabetes mellitus is one main segment of chronic non-communicable diseases with increasing prevalence, that is more pronounced in developing countries1. Overall, the global burden of diabetes had increased significantly since 1990. Both the trend and magnitude of diabetes related diseases burden varied substantially across regions and countries. In 2017, global incidence, prevalence, death, and disability-adjusted life-years (DALYs) associated with diabetes were 22.9 million, 476.0 million, 1.37 million, and 67.9 million, with a projection to 26.6 million, 570.9 million, 1.59 million, and 79.3 million in 2025, respectively2. The current prevalence in Nigeria is between 1.7-12%3This increasing prevalence is fueled by rapid urbanization, nutrition transition, increasingly sedentary lifestyles, and the worldwide rise in obesity4. The general consensus on treatment of type 2 diabetes is that life style management is at the forefront of therapy options. In addition to exercise, weight control and medical nutrition therapy, oral glucose lowering drugs, and injections of insulin are the conventional therapies5. Oral medications are indicated in patients in whom diet and exercise fail to achieve the desired glycemic control6. Although initial response may be good, oral hypoglycemic drugs may lose their effectiveness in a significant percentage of patients6. The drug categories include sulfonylurea, biguanide, alpha-glucosidase inhibitors, thiazolidinedione, meglitinide, dipeptidyl peptidase-4 (DPP-4) inhibitors, Dopamine-2 agonist (example bromocryptin), Sodium-glucose transporter (SGLT) 2 inhibitors and Glucagon-like peptide-1 (GLP-1) receptor agonists. The side effects of these medications include weight gain from hyperinsulinaemia for sulfonylureas, lactic acidosis and depletion of vitamin b12 by biguanides, diarrhoea with the use of alpha glucosidase inhibitors, while thiazolidinediones may increase LDL-cholesterol level as well as being associated with weight gain and osteoporosis7,8,9,10. DPP-4 inhibitors are associated with increased serum creatinine, acute pancreatitis, headache, hypoglycemia, and urinary tract infection while SGLT-2 inhibitors could cause fungal vaginosis, urinary tract infection, increased urine output, bone fracture (8%), and renal impairment11.  Bromocryptin is associated with hypotension, headache, psychosis, fibrosis (retroperitoneal, pleural, cardiac valve) and cardiovascular incidents (valvular damage, stroke, myocardial infarction)12.

 Limitation of currently available oral antidiabetic agents either in terms of efficacy/safety coupled with the emergence of the disease into global epidemic have encouraged worldwide increase in the use of alternative therapy to manage diabetes5,13,14. Alternative therapies with antidiabetic activity have been researched relatively, extensively, particularly in India5Recently, medicinal plant-based bioactive compounds have been found to be a good choice for better diabetes management with fewer side effects15Overall research indicates that most people who use CAM therapies do so in addition to, rather than in place of conventional medical treatment16,17. There is limited data on the use of CAM in subjects with T2DM in South-East Nigeria. Previous studies were conducted on the general population18. as well as on cancer patients in another tertiary institution in Enugu19. This study aimed to determine the prevalence and determinants of CAM use among T2DM subjects in a tertiary institution in Enugu, South-East Nigeria.

METHODS

This cross-sectional study was conducted at the DM clinic of the ESUT Teaching hospital, Parklane Enugu in South-East Nigeria between 1st September to 31st October 2023. Diabetic subjects aged 30 years and above were recruited for the study. Informed consent was obtained from each study participant who agreed to participate after the study had been explained in English or local dialect. The approval for the study was obtained from the ethics and research committee of the hospital. A validated interviewer-administered questionnaire was used to collect data from each participant. The questionnaire was developed from previous studies on CAM use. It was used to obtain sociodemographic data on age, gender, residence, tribe, marital status, education, income, and religion. Data were also obtained on the forms of CAM products consumed, co-administration of CAM with conventional medicine, reasons for CAM use, duration of DM, frequency of clinic visits, presence of DM complications, and disclosure of CAM use to health care providers. The questions were both open and closed ended. For participants who were not literate, the questionnaire was interpreted to them in the local dialect. CAM use was considered in this study as the use of it either as a complement or an alternative therapy according to the classification of CAM by the National Institute of Health. All outpatients 30years and older, diagnosed with T2DM for one year and more, and who reported to the hospital for treatment were included. Participants were excluded if they were diagnosed with T2DM for less than one year or were below the age of 30years at the time of diagnosis.

STATISTICAL ANALYSIS:

Data collated was analyzed using SPSS version 26.0 for windows. Descriptive statistics which include frequency and percentages were used to summarize categorical variables while means and standard deviations were obtained for continuous variables. Associations between categorical variables were done using logistic regression. P-value < 0.05 was considered significant and results were presented in tables.

RESULTS:

Table 1: Socio-demographic characteristics of the study participants

 

Frequency

Percent

Age

 

 

Less than 45 years

23

9.2

45-64 years

138

55.2

Greater than or equal to 65

89

35.6

Gender

 

 

Male

65

26.0

Female

185

74.0

Religion

 

 

Christianity

249

99.6

Atheist

1

0.4

Tribe

 

 

Ibo

248

99.2

Igala

2

0.8

Residence

 

 

Urban

192

76.8

Rural

58

23.2

Marital status

 

 

Single

9

3.6

Married

231

92.4

Separated

10

4.0

Occupation

 

 

Civil servant

43

17.2

Business/ trader

82

32.8

Farmer

17

6.8

Artisan

25

10.0

Unemployed

83

33.2

Educational background

 

 

Illiterate

30

12.0

Primary

90

36.0

Secondary

60

24.0

Tertiary

70

28.0

Monthly income

 

 

Less than 100000 naira

196

78.4

100000-500000 naira

53

21.2

Greater than 500000 naira

1

0.4

Dm duration

 

 

Less than a year

28

11.2

1-5 years

89

35.6

5-10 years

48

19.2

Greater than 10 years

85

34.0

Frequency of clinic visits

 

 

Monthly

104

41.6

twice monthly

89

35.6

3-6 monthly

27

10.8

greater than six monthly

30

12.0

Type of conventional treatment

 

 

Orals

244

97.6

Insulin

6

2.4

Presence of DM complications

 

 

No

92

36.8

Yes

158

63.2

 

Table 1 shows that more than half of the study participants (55.2%) were aged between 45 and 64 years, with about three quarters being female. Almost all the participants were Christians and of Igbo extraction. About three quarters reside in urban areas while about a third were unemployed. Most of them (92.4%),17.2% civil servants, 32.8% business/traders, 6.8% farmers and 10% artisans. The study participants comprised of people with tertiary (28%), secondary (24%) and primary (36%) levels of education. About three quarters earn less than 100,000 Naira while about a third them have DM duration of 1 to 5 years and more than 10 years. Less than half of the DM patients (41.6%) visit the clinic monthly while 35.6% visit twice monthly. Most of them (97.6%) take oral type of conventional treatment while 63.2% have DM complications.


 

 

Table 2: Use of CAM

 

Frequency

Percent

Currently on CAM

 

 

No

165

66.0

Yes

85

34.0

CAM duration

 

 

less than a year

19

22.4

1-2 years

23

27.1

2-5 years

15

17.6

greater than 5 years

28

32.9

Type of CAM

 

 

Bitterleaf (Vernonia amyghdalina)

48

56.5

Scent leaf (African basil)

34

40.0

Bitter cola

40

47.0

Garlic

9

10.6

Moringa

17

20.0

Supplements

5

5.9

Olive oil

3

3.5

Onion

4

4.7

Date

2

2.4

Honey

0

0.0

Spiritual healing

1

1.2

Aloe vera

6

7.1

Ginger

1

1.2

Utazi (Gongronema latifolium)

15

17.7

Who introduced you to CAM

 

 

Friends

58

68.2

Media

12

14.1

Family members

22

25.9

Medical Journal

3

3.5

CAM use before DM diagnosis

 

 

Yes

33

38.8

No

52

61.2

Do you know the constituent of the CAM you are using

 

 

Yes

28

32.9

No

57

67.1

Pattern of CAM use

 

 

Concurrently with conventional medicines

64

75.3

Alternate use

10

11.8

Stopped conventional meds when using CAM 

10

11.8

Reduce dose of conventional treatment

85

100.0

Reasons for using CAM

 

 

To manage DM

59

69.4

To manage DM complications

4

4.7

To reduce symptoms

3

3.5

To maintain body health

27

31.8

Emotional well-being

8

9.4

To achieve cure

3

3.5

Clinic visit while on CAM

 

 

Yes

77

90.6

No

8

9.4

Disclosure to your HCP

 

 

Yes

11

12.9

No

74

87.1

Reason for nondisclosure

 

 

HCP did not ask

57

67.0

Never thought of it

11

12.9

HCP will discourage me

9

10.6

HCP will be angry

0

0.0

CAM is safe

7

8.2

No sufficient time with the HCP

0

0.0

HCPs don’t have knowledge of CAM

1

1.2


 

Table 2 shows that the prevalence of Cam use among the DM patients is 34%. CAM duration is greater than 5 years for about a third, 1 to 2 years for 27.1% and less than a year for 22.4% of the subjects. More than half of the participants took bitter leaf while slightly less than half took bitter cola. The rest took Scent leaf (40%), Moringa (20%), Utazi (17.7%) and Garlic (10.6%) in that order. The table shows that two thirds of the participants (68.2%) were introduced to CAM by their friends while about a quarter (25.9%) were introduced by family members. About a third of the participants used CAM before DM diagnosis and knew the constituent of the what they are using. All the DM patients who use CAM reduce dose of conventional treatment, while about three quarters used CAM concurrently with conventional medicines while 11.8% each used as alternatives and stopped conventional medications when using CAM. Major reasons for using CAM includes to manage DM (69.4%) and to maintain body health (31.8%). Most of the patients (90.6%) visit clinic while on CAM while 12.9% disclose it to their HCP. The major reason for non-disclosure to their HCP is that the HCP did not ask. 


 

 

 

Table 3: Association between Socio-demographic factors and CAM use

 

  Currently on CAM use

 

 

 

 

Yes

No

P value

OR

95% C.I for OR

Age 

 

 

 

 

 

<45 years

2 (8.7)

21 (91.3)

0.017

0.165

0.038 – 0.722

≥45 years

83 (36.6)

144 (63.4)

 

 

 

Gender

 

 

 

 

 

Male

18 (27.7)

47 (72.3)

0.214

0.674

0.363 – 1.254

Female

67 (36.2)

118 (63.8)

 

 

 

Residence

 

 

 

 

 

Rural

30 (51.7)

28 (48.3)

0.001

2.669

1.461 – 4.876

Urban

55 (28.6)

137 (71.4)

 

 

 

Marital status

 

 

 

 

 

Single/separated

4 (21.1)

15 (78.9)

0.223

0.494

0.159 – 1.537

Married

81 (35.1)

150 (64.9)

 

 

 

Occupation

 

 

 

 

 

Employed

56 (33.5)

111 (66.5)

0.825

0.939

0.540 – 1.635

Unemployed

29 (34.9)

54 (65.1)

 

 

 

Educational level

 

 

 

 

 

None/primary

38 (31.7)

82 (68.3)

0.455

0.818

0.484 – 1.384

Post primary

47 (36.2)

83 (63.8)

 

 

 

Income

 

 

 

 

 

<100,000 naira

70 (35.7)

126 (64.3)

0.277

1.444

0.744 – 2.804

≥ 100,000 naira

15 (27.8)

39 (72.2)

 

 

 

DM duration

 

 

 

 

 

≤5 years

39 (33.3)

78 (66.7)

0.835

0.946

0.560 – 1.598

>5 years

46 (34.6)

87 (65.4)

 

 

 

 


 

Table 3 shows that age is significantly associated with CAM use among DM patients. DM patients less than 45 years of age are less likely to use CAM than those above 45 years old (p = 0.017, OR = 0.165, 95% C.I = 0.038 – 0.722). Area of residence is significantly associated with CAM use among DM patients. DM patients that reside in the rural areas were 3 times more likely to use CAM than those that reside in urban areas (p = 0.001, OR = 2.669, 95% C.I = 1.461 – 4.876). However, gender, marital status, occupation, educational level, income, and DM duration are not significantly associated with CAM use among DM patients (p > 0.05). 

DISCUSSION:

The prevalence of CAM use among DM subjects in this study was 34%. This adds to the available data on this important topic in Nigeria. Ogbera et al found prevalence of 46%20. while the prevalence was 62.1% in another multi-centre study in western Nigeria21. These differences in the prevalence with our study could have been from regional and tribal differences in herbal medicine use, as well as the methodology; the latter study had a higher sample size of 388 participants. The prevalence of CAM use among people living with DM is estimated to be as high as 80% in Africa22. It was found to be 73.7% in Ethiopia23, 41.7% in Egypt24, 24.4% in Cameroun25, 53% in South Africa26, 33% in Guinea27, 12.4% in Kenya28, and 77.1% in Tanzania29. Other studies around the world showed varying prevalence of CAM use ranging from 8% to 70% and above, depending on the country.  The reported prevalence rate of CAM usage in DM in the USA range between 8%– 52%20, 25% in Canada30, 62% in Mexico31, >64% in India and Korea2335.2% in Bangladesh3230.1% in Saudi Arabia33, 38% in Lebanon34, 41% in Turkey35, 63% in Bahrain36, 18.4% in Germany37, and 25% in Australia38.

The most commonly used CAM in this study was bitter leaf (Vernonia amygdalina), followed by bitter cola (Garcinia kola) and scent leaf (African basil) before the rest. Previous studies by Ala et al found that the most commonly used CAM was biological therapy-Vernonia amygdalina (bitter leaf), garlic and Moringa oleifera21, while Ogbera et al found that Vitamin usage was the commonly documented CAM used in the respondents, followed by herbal products Vernonia amygdalina (bitter leaf), aloe vera and a mixture of local herbs20. Nigerian researchers have reported a lowering of blood glucose in diabetic rats when they were fed with bitter leaf, and this lowering of glucose was comparable to that recorded in diabetic rats who had oral glucose-lowering agents administered to them39. Many DM patients in Nigeria believe that the bitterness in bitter leaf, bitter kola, aloe vera and utazi would dilute the sweetness of the sugar in their blood. This could explain why they are some of the most commonly used CAM in this study, as well as in other studies in Nigeria.  As was the case in this study, individuals with diabetes tend to use CAM therapies to complement and not as an alternative to conventional therapy20,21,40,41

The majority of subjects on CAM users (87.1%) didn't disclose CAM use to their health care professionals (HCP). This high rate of non-disclosure was also found in previous studies20,21,22,35. The commonest reason for the non-disclosure in this study was that the HCP did not ask if subjects were using CAM. This underscores the importance of holistic communication while interacting with patients during assessment.   It is known that medicinal plants reduce blood glucose through biochemical mechanisms such as restitution of pancreatic β-cell function, improvement in insulin sensitivity by receptors, stimulating rate of insulin secretion, inhibition of liver gluconeogenesis, enhanced glucose absorption, and inhibition of G-6-Pase, α-amylase, and α-glucosidase activities14,42. However, the use of CAM is also fraught with many problems including drug-to-drug interactions, side effects, dosing, limited knowledge of the various constituents of each CAM, and the possibility of causing further complications in the subjects taking them36,43,44. This problem is compounded by weak regulation of the production, distribution, and use of non-orthodox remedies in Nigeria45,46

In this study, middle-aged and elderly subjects are more likely to use CAM than younger subjects aged less than 45 years. This is similar to the findings in other studies done in a government hospital in Ethiopia23, as well as in Nigeria20. The reason for this may be that older people who are more likely to have had DM for a longer period of time, may be disenchanted with the incurable nature of their condition or may have experienced side effects of orthodox medications. These may encourage them to use CAM as “second opinion”. However, in other studies, done on cancer subjects in Enugu, Nigeria19 as well as on Indians in a suburb in Chatsworth South Africa47, age did not statistically associate with the use of CAM. The reason for this discrepancy may be because the latter studies were not done solely on DM subjects. 

In this study, rural dwellers are three times more likely to use CAM than urban dwellers. The reason may be because rural dwellers have more access to herbs than subjects who live in urban areas. Furthermore, the dearth of healthcare professionals (medical specialists, pharmacists and qualified nurses) in rural communities in Nigeria also encourage the use of CAM. 

Educational qualification and income did not positively associate with CAM use in this study. This is similar to the finding in another study done on asthmatic subjects in United States where the income status of the participants did not associate with the use of CAM48. Similarly, a recent multicentre study found that both the lowest and highest socioeconomic groups in China demonstrated an increased preference for CAM49.  This further emphasizes the global increasing trend in the use of CAM that cuts across climes, races, religion and socioeconomic status. 

CONCLUSION:

  1. There is a high prevalence of CAM use among DM subjects in this centre.
  2. Most subjects use CAM concurrently with orthodox medication.
  3. Most HCP do not make enquiries on the use of CAM by their patients. 

RECOMMENDATIONS:

  1. Awareness programs targeting HCPs and patients on the use of CAM should be created to educate them on the various aspects of this treatment modality. This will ensure that the HCPs are knowledgeable enough to discuss the CAM therapies that the patients are using or thinking of using to more effectively communicate with them.   
  2. Guidelines should be created and regulatory bodies empowered to check the unwarranted and potentially harmful use of CAM.
  3. Research on potential and proven beneficial medicinal plants should be funded by the government and various organizations to explore different mechanisms of favourable metabolic effects these CAMs may harbor. It is worthy of note that Metformin, the first choice in the treatment of type 2 diabetes, originated from the plant Galega offcinalis (French lilac or goats’ rue) and was once considered a CAM.

CONFLICT OF INTEREST:

We declare no conflict of interest. 

REFERENCES:

1. Animaw W, Seyoum Y. Increasing prevalence of diabetes mellitus in a developing country and its related factors. PLoS One. 2017 ;12(11): e0187670. https://doi.org/10.1371/journal.pone.0187670 PMid:29112962 PMCid:PMC5675402

2. Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep 2020;10:14790. https://doi.org/10.1038/s41598-020-71908-9 PMid:32901098 PMCid:PMC7478957

3. Adijat OA, Folakemi E, Adejumo A, Atolagbe JE. The prevalence and Risk Factors of Diabetes Mellitus among Civil Service Workers In Osogbo, Ogun State, Nigeria. J Hypertens Manag 2021; 7:062. https://doi.org/10.23937/2474-3690/1510062

4. Hu FB. Globalization of diabetes: the role of diet, lifestyle, and genes. Diabetes Care. 2011; 34(6):1249-57. https://doi.org/10.2337/dc11-0442 PMid:21617109 PMCid:PMC3114340

5. Pandey A, Tripathi P, Pandey R, Srivatava R, Goswami S. Alternative therapies useful in the management of diabetes: A systematic review. J Pharm Bioallied Sci. 2011; 3(4):504-12. https://doi.org/10.4103/0975-7406.90103 PMid:22219583 PMCid:PMC3249697

6. Flory JH, Small DS, Cassano PA, Brillon DJ, Mushlin AI, Hennessy S. Comparative effectiveness of oral diabetes drug combinations in reducing glycosylated hemoglobin. J Comp Eff Res. 2014; 29-39. https://doi.org/10.2217/cer.13.87 PMid:24345255 PMCid:PMC3996558

7. Dorababu M, Prabha T, Priyambada S, Agrawal VK, Aryya NC, Goel RK. Effect of Bacopa monniera and Azadirachta indica on gastric ulceration and healing in experimental NIDDM rats. Indian J Exp Biol. 2004; 2:389-97. PMID: 15088689.

8. Halim EM. Lowering of blood sugar by water extract of Azadirachta indica and Abroma augusta in diabetes rats. Indian J Exp Biol. 2003;41:636-40. PMID: 15266913.

9. Miller JW. Proton Pump Inhibitors, H2-Receptor Antagonists, Metformin, and Vitamin B-12 Deficiency: Clinical Implications. Adv Nutr. 2018; 9: 511S-518S. https://doi.org/10.1093/advances/nmy023 PMid:30032223 PMCid:PMC6054240

10. Murphy CE, Rodgers PT. Effects of Thiazolidinediones on Bone Loss and Fracture. Annals of Pharmacotherapy. 2007;41(12):2014-2018.  https://doi.org/10.1345/aph.1K286 PMid:17940125

11. Ganesan K, Rana MBM, Sultan S. Oral Hypoglycemic Medications. [Updated 2023 May 1]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK482386/ 

12. Ozery M, Wadhwa R. Bromocriptine. [Updated 2022 Nov 23]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK555948/ 

13. Undale VR, Bhosale AV, Upsani CD. Study of Pharmacodynamic Interactions between a Polyherbal Formulation BSL-150 and Metformin. Pharmaceutical Crops 2014; 5:67-76. https://doi.org/10.2174/2210290601405010067

14. Medagama AB, Bandara R. The use of complementary and alternative medicines (CAMs) in the treatment of diabetes mellitus: is continued use safe and effective? Nutr J. 2014 Oct 21; 13:102. https://doi.org/10.1186/1475-2891-13-102 PMid:25331834 PMCid:PMC4210501

15. Rahman M, Dhar PS, Anika SF, Ahmed L, Islam R, Sultana NA et al. Exploring the plant-derived bioactive substances as antidiabetic agent: An extensive review. Biomedicine & Pharmacotherapy 2022;152:0753-3322.  https://doi.org/10.1016/j.biopha.2022.113217 PMid:35679719

16. Astin JA. Why patients use alternative medicine: Results of a national survey. JAMA. 1998; 279:1548-53. doi: 10.1001/jama.279.19.1548. PMID: 9605899. https://doi.org/10.1001/jama.279.19.1548 PMid:9605899

17. Eisenberg DM, Kessler RC, Foster C, Norlock FE, Calkins DR, Delbanco TL. Unconventional medicine in United States: Prevelance, cost and pattern use. N Engl J Med. 1993; 328:246-52. https://doi.org/10.1056/NEJM199301283280406 PMid:8418405

18. Okoronkwo I, Onyia-Pat JL, Okpala P, Agbo MA, 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 Med. 2014; 2014:239372. https://doi.org/10.1155/2014/239372 PMid:24803945 PMCid:PMC3996953

19. 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; 7:28. https://doi.org/10.1186/1472-6882-7-28 PMid:17850665 PMCid:PMC2034592

20. Ogbera AO, Dada O, Adeyeye F, Jewo PI. Complementary and alternative medicine use in diabetes mellitus. West Afr J Med. 2010; 29(3):158-62. https://doi.org/10.4314/wajm.v29i3.68213 PMid:20665458

21. Ala AO, Ojo OA, Enikuomehin CA, Ajani GO, Olamoyegun MA, Akinlade AT, Olabode OR. Prevalence and Determinants of Complementary and Alternative Medicine (CAM) Use among Diabetes Patients in Southwestern Nigeria. West Afr J Med. 2020; 37(5):528-536. PMID: 33058129

22. Matheka DM, Demaio AR. Complementary and alternative medicine use among diabetic patients in Africa: a Kenyan perspective. Pan Afr Med J. 2013; 15:110. https://doi.org/10.11604/pamj.2013.15.110.2925 PMid:24244796 PMCid:PMC3828059

23. Kifle ZD. Prevalence and correlates of complementary and alternative medicine use among diabetic patients in a resource-limited setting. Metabol Open. 2021; 10:100095. https://doi.org/10.1016/j.metop.2021.100095 PMid:34041474 PMCid:PMC8141910

24. Khalil S.H. Pattern of use of complementary and alternative medicine among type 2 diabetes mellitus patients in Alexandria, Egypt. J Egypt Publ Health Assoc. 2013; 88(3):137-142. https://doi.org/10.1097/01.EPX.0000440994.89503.45 PMid:24374946

25. Niba L. Dzekem A. Navti L. Moses S. (2023) Predictors of Herbal Medicine Use amongst Adults with Type 2 Diabetes in an Urban Setting in Cameroon. Journal of Biosciences and Medicines,2023; 11:182-198. https://doi.org/10.4236/jbm.2023.114013

26. Lauren Chetty, Nalini Govender, Poovendhree Reddy, "Traditional Medicine Use among Type 2 Diabetes Patients in KZN", Advances in Public Health, vol. 2022, Article ID 7334080, 12 pages, 2022. https://doi.org/10.1155/2022/7334080

27. Baldé NM, Youla A, Baldé MD, Kaké A, Diallo MM, Baldé MA, et al Herbal medicine and treatment of diabetes in Africa: an example from Guinea. Diabetes Metab. 2006; 32(2):171-5. https://doi.org/10.1016/S1262-3636(07)70265-3 PMid:16735967

28. Mwangi J, Gitonga L. Perceptions and use of herbal remedies among patients with diabetes mellitus in Murang'a North District, Kenya. Open Journal of Clinical Diagnostics 2014; 04:152-72. https://doi.org/10.4236/ojcd.2014.43024

29. Lunyera J, Wang D, Maro V, Karia F, Boyd D, Omolo J, et al. Comprehensive Kidney Disease Assessment For Risk factors, epidemiology, Knowledge, and Attitudes (CKD AFRiKA) Study. Traditional medicine practices among community members with diabetes mellitus in Northern Tanzania: an ethnomedical survey. BMC Complement Altern Med. 2016; 16(1):282. https://doi.org/10.1186/s12906-016-1262-2 PMid:27514380 PMCid:PMC4982437

30. Ryan E, Pick M, Marceau C. Use of alternative medicines in diabetes mellitus. Diabet Med. 2001; 18(3):242-245. https://doi.org/10.1046/j.1464-5491.2001.00450.x PMid:11318847

31. Argáez-López N. The use of complementary and alternative medicine therapies in type 2 diabetic patients in Mexico. Diabetes Care. 2003; 26(8):2470-2471. https://doi.org/10.2337/diacare.26.8.2470 PMid:12882883

32. Rafi MA, Azad DT, Bhattacharjee M, Rahman N, Mubin KA, Rahman MA et al. A hospital-based study on complementary and alternative medicine use among diabetes patients in Rajshahi, Bangladesh. BMC Complement Med Ther 2020; 20:219. https://doi.org/10.1186/s12906-020-03021-3 PMid:32660539 PMCid:PMC7359228

33. Al Saeedi M. Patterns of belief and use of traditional remedies by diabetic patients in Mecca, Saudi Arabia. EMHJ-Eastern Mediterranean Health Journal. 2003; 9:99-107. https://doi.org/10.26719/2003.9.1-2.99 PMid:15562738

34. Naja F. Prevalence and correlates of complementary and alternative medicine use among diabetic patients in Beirut, Lebanon: a cross-sectional study. BMC Compl Alternative Med. 2014; 14(1):1-11. https://doi.org/10.1186/1472-6882-14-185 PMid:24906634 PMCid:PMC4074134

35. Ceylan S. Complementary and alternative medicine use among Turkish diabetes patients. Compl Ther Med. 2009;17(2):78-83.  https://doi.org/10.1016/j.ctim.2008.07.003 PMid:19185265

36. Khalaf A.J., Whitford D.L. The use of complementary and alternative medicine by patients with diabetes mellitus in Bahrain: a cross-sectional study. BMC Compl Alternative Med. 2010; 10(1):1-5. https://doi.org/10.1186/1472-6882-10-35 PMid:20630070 PMCid:PMC2912778

37. Leese G, Gill G, Houghton G. Prevalence of complementary medicine usage within a diabetes clinic. Practical Diabetes International. 1997; 14(7):207-208. https://doi.org/10.1002/pdi.1150

38. Tan AC, Mak JC. Complementary and alternative medicine in diabetes (CALMIND): a prospective study. J Complement Integr Med 2015; 12(1):95-99. https://doi.org/10.1515/jcim-2014-0038 PMid:25581768

39. Ogbera AO, Ekpebegh C. Diabetes mellitus in Nigeria: The past, present and future. World J Diabetes 2014; 5(6): 905-911. https://doi.org/10.4239/wjd.v5.i6.905 PMid:25512795 PMCid:PMC4265879

40. Kesavadev J, Saboo B, Sadikot S, Das AK, Joshi S, Chawla R, Thacker H, Shankar A, Ramachandran L, Kalra S. Unproven Therapies for Diabetes and Their Implications. Adv Ther. 2017; 34(1):60-77. https://doi.org/10.1007/s12325-016-0439-x PMid:27864668 PMCid:PMC5216071

41. Emmanuel Ekpor, Eric Osei, Samuel Akyirem, Prevalence and predictors of traditional medicine use among persons with diabetes in Africa: a systematic review, International Health, 2023;, ihad080, https://doi.org/10.1093/inthealth/ihad080 PMid:37706354

42. Adinortey MB, Agbeko R, Boison D, Ekloh W, Kuatsienu LE, Biney EE et al. Phytomedicines Used for Diabetes Mellitus in Ghana: A Systematic Search and Review of Preclinical and Clinical Evidence. Evid Based Complement Alternat Med. 2019; 2019:6021209. https://doi.org/10.1155/2019/6021209 PMid:31118963 PMCid:PMC6500637

43. International Diabetes Federation. 2nd Edition. Brussels, Belgium: IDF; 2011. Diabetes Education Modules.

44. Ng JY, Mooghali M, Munford V. eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review. BMC Complement Med Ther2020; 20:239. https://doi.org/10.1186/s12906-020-02963-y PMid:32727531 PMCid:PMC7388448

45. Li S, Odedina S, Agwai I, Ojengbede O, Huo D, Olopade OI. Traditional medicine usage among adult women in Ibadan, Nigeria: a cross-sectional study. BMC Complement Med Ther. 2020; 20(1):93. https://doi.org/10.1186/s12906-020-02881-z PMid:32192455 PMCid:PMC7083039

46. Aliyu UM, Awosan KJ, Oche MO, Taiwo AO, Jimoh AO, Okuofo EC. Prevalence and Correlates of Complementary and Alternative Medicine use among Cancer Patients in Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria. Nigerian Journal of Clinical Practice 2017; 20(12):1576-1583. https://doi.org/10.4103/njcp.njcp_88_17 PMid:29378990

47. Singh V, Raidoo DM, Harries CS. The prevalence, patterns of usage and people's attitude towards complementary and alternative medicine (CAM) among the Indian community in Chatsworth, South Africa. BMC Complementary and Alternative Medicine 2004; 4:3. https://doi.org/10.1186/1472-6882-4-3 PMid:15018622 PMCid:PMC356921

48. Ogbu CE, Oparanma CO, Kirby RS. Factors Associated with the Use of Complementary and Alternative Medicine/Therapy among United States Adults with Asthma. Healthcare. 2023; 11(7):983. https://doi.org/10.3390/healthcare11070983 PMid:37046911 PMCid:PMC10093826

49. Xin B, Mu S, Tan T, Yeung A, Gu D, Feng Q. Belief in and use of traditional Chinese medicine in Shanghai older adults: a cross-sectional study. BMC Complement Med Ther. 2020; 20(1):128. https://doi.org/10.1186/s12906-020-02910-x PMid:32345283 PMCid:PMC7189641