Next Article in Journal
Acknowledgment to the Reviewers of Journal of Xenobiotics in 2022
Previous Article in Journal
Development of a Modified QuEChERS Method Coupled with LC-MS/MS for Determination of Spinetoram Residue in Soybean (Glycine max) and Cotton (Gossypium hirsutum)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of the Antimalarial Treatment Failure in Ebonyi State, Southeast Nigeria

by
Chinedu Ogbonnia Egwu
1,*,
Chinyere Aloke
1,2,
Jennifer Chukwu
3,
Joshua Chidiebere Nwankwo
4,
Chinemerem Irem
4,
Kingsley E. Nwagu
4,
Felix Nwite
5,
Anthony Ogbonnaya Agwu
5,
Esther Alum
5,
Christian E. Offor
5 and
Nwogo Ajuka Obasi
1
1
Department of Medical Biochemistry, College of Medicine, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
2
Protein Structure-Function and Research Unit, School of Molecular and Cell Biology, Faculty of Science, University of the Witwatersrand, Braamfontein, Johannesburg 2050, South Africa
3
World Health Organization, 4th Floor, United Nations House Plot 617/618 Central Area District, Abuja PMB 2861, Nigeria
4
Department of Biotechnology, Alex Ekwueme Federal University Ndufu-Alike, Abakaliki PMB 1010, Nigeria
5
Biochemistry Department, Faculty of Biological Sciences, Ebonyi State University, Abakaliki PMB 53, Nigeria
*
Author to whom correspondence should be addressed.
J. Xenobiot. 2023, 13(1), 16-26; https://doi.org/10.3390/jox13010003
Submission received: 13 November 2022 / Revised: 19 December 2022 / Accepted: 26 December 2022 / Published: 3 January 2023
(This article belongs to the Section Drug Therapeutics)

Abstract

:
The fight against malaria is a continuum as the epidemic is not abating. For proper deployment of tools in the fight against malaria, an assessment of the situation is necessary. This work assessed the level of antimalarial drug treatment failure in Ebonyi State, Nigeria. Both survey and in vitro analyses were adopted. The survey was used to obtain qualitative information from both the malaria subjects and the pharmacies where antimalarial drugs are sourced. The results from the survey were complemented by an in vitro assay of the level of active pharmaceutical ingredients (APIs) in the commonly used artemisinin combination in Nigeria; artemether/lumefantrine. Results from the survey revealed that artemisinin combination therapies (ACTs) remain the mainstay in the treatment of malaria, even though other non-artemisinin drugs are still used. It also revealed that many patients still self-medicate, although, this may not be connected to the treatment failure seen among some malaria subjects. The in vitro assay showed that ACT contains the right quantity of APIs. Further surveillance is, therefore, necessary to understand the real cause of treatment failure among malaria subjects in Nigeria.

1. Introduction

Malaria remains a major public health concern in low- and middle-income countries (LMICs). Malaria accounts for at least 600,000 deaths annually [1]. Malaria is caused by Plasmodium parasites, which are spread to people through the bites of infected female Anopheles mosquitoes. There are several species of Plasmodium; however, P. falciparum is the most dominant in sub-Saharan Africa [2]. Access to antimalarial drug therapy and the growing resistance of malaria parasites to artemisinin and mosquitoes to insecticides are significant concerns in malaria control and elimination [3]. Early diagnosis and treatment with appropriate antimalarial drugs can prevent severe illness and lethal outcomes [4]. Therefore, it is crucial that the administered antimalarial drugs are of acceptable quality [5]. Assuring the quality of ACTs and other antimalarial drugs used to counter malaria is paramount in ensuring that the success of malaria prevention and control strategies is maintained. Worrisomely, reports show that fake drugs abound in malaria-endemic regions where 1 in every 10 drugs are said to be fake and one-third of antimalarial drugs from malaria-endemic countries failed chemical content analysis [6,7]. In addition to the use of antimalarial drugs, other approaches for malaria control are: the use of insecticide-treated nets and outdoor and indoor insecticide spays [8]. Prevention remains the best control approach; however, for confirmed malaria cases, antimalarial drugs must be used [8].
At the patient level, poor-quality antimalarial drugs may result in treatment failure, leading to prolonged or severe illness and even death, as sub-therapeutic doses can increase the risk of recrudescence of malaria. At the provider level, this increases the burden on already limited resources and undermines confidence in health providers [9]. More so, the overuse, inadequate or incomplete treatment regimen, and counterfeit drugs, which lead to drug failures and the development of resistance by both the mosquitoes and malaria parasites to insecticides and antimalarial drugs, respectively, are also culpable [2,10,11]. From a public health perspective, drugs with low-stated active pharmaceutical ingredients (API) or low bioavailability may be selected for drug-resistant parasites [12].
A connection between the quality of artemisinin-based medicines and drug resistance has been postulated but not as yet established [13]. The increase in poor-quality (e.g., counterfeit or falsified) antimalarial drugs may cause an impediment to efficient malaria control [14]. Poor-quality antimalarial drugs have severe repercussions for public health [5]. Drugs with minute, or with no active pharmaceutical ingredients (APIs) may cause increased morbidity and death [15]. Moreover, little amounts of APIs in poor-quality drugs will result in sub-therapeutic concentrations of the drug in vivo, which may contribute to the selection of resistant parasites [16]. In addition, the use of poor-quality antimalarial drugs leads to economic loss for patients and their families, healthcare systems, and pharmaceutical companies producing the genuine product [17]. Information about the quality of antimalarial drugs is imperative for improving malaria treatment and effectively running malaria control programs [18]. The objective of this study is to study the failure rate of conventional antimalarial drugs, especially the artemisinin-based ones, among malaria subjects through survey and in vitro analysis. This study will provide information that is essential in policy making and implementation in the fight against malaria, especially in the best choice of antimalarial drug.

2. Materials and Methods

2.1. Study Area

A descriptive cross-sectional survey was carried out to access the failure rate of conventional antimalarial drugs, especially the Artemisinin-based ones, and evaluate the level of revisit to the pharmacies for the purchase of antimalarial drugs due to failure in selected major cities in Ebonyi state (Abakaliki, Afikpo, and Ikwo town).

2.2. Sampling

A sample size of 300 respondents was drawn from antimalarial drug users across major towns in Ebonyi state. Structured questionnaires were administered to the respondents to gather information on their drug use patterns. The respondents were given enough time to fill out the questionnaire and non-educated respondents were guided in filling out the questionnaires. The inclusion criteria were: respondents who have had malaria episodes in the last year; must live in urban areas of Ebonyi State and must be at least 15 years. The exclusion criteria were: respondents who took herbal medicine in the last six months and those less than 15 years.
Sixty-five (65) pharmacies across these major cities were also sampled. The antimalarial drug usage was ascertained from the pharmacies using structured questionnaires. The quality of drugs was assessed through the purchase of antimalarial drugs from a random sample of selected providers.
The responses from the respondents were analyzed using the sentiment levels and percentage levels of occurrence, respectively.
The sentiment levels of the respondents from the survey were taken and analyzed on a five-scale Likert Model as shown in Equation (1).
S L = 1 n f × S C
SL = Average sentiment level; n = total number of respondents in the survey; f = frequency of respondents at each sentiment score; SC = sentiment score (1, 2, 3, 4, or 5).
The percentage level of occurrence was determined as shown in Equation (2).
l e v e l   o f   o c c u r r e n c e = n u m b e r   o f   o c c u r r e n c e t o t a l   n u m b e r   o f   o c c u r r e n c e × 100

2.3. Chemical Analysis of Sample (Antimalarial Drugs)

The gold standard antimalarial drugs (artemether/lumefantrine) in the formulation of 20/120 mg and 80/480 mg were purchased, respectively, from pharmacies sited in different cities of Ebonyi State, for the analysis. All the reagents and chemicals used for the laboratory analysis were of high analytical standard. The selected common antimalarial drugs were analyzed to ascertain the level of the active pharmaceutical ingredients (APIs) using thin-layer chromatography as described by Global Pharma Health Fund (GPHF) Minilab. Drug quality was assessed by comparing the amount of active ingredient in the eluents of each dissolution sample against a known concentration of the hypothetical standard for artemisinin combination therapy (ACT) after thin-layer chromatography. The hypothetical standard of 20/120 mg for single strength or 80/480 mg for double strength artemisinin/lumefantrine was used in order to rule out variations that may occur from any other standard drug from the field. The hypothetical standard is the recommended or ideal dose for artemether/lumefantrine. It was, therefore, used to establish the deviation of the analyzed samples from the recommended standard.

2.4. Ethical Consideration

Ethical approval was obtained from the Ethics Committee of Alex-Ekwueme Federal University Ndufu-Alike, Ebonyi State Nigeria with the reference FUNAI/R&D/2021/0036/Vol.2/00288.

2.5. Statistical Analysis

The data were analyzed using GraphPad Prism and the level of significance was tested at a 95% confidence interval.

3. Results and Discussion

3.1. Survey

The survey results gotten from the patients and pharmacy are presented.

3.1.1. Patient Survey

  • Periodicity of malaria and antimalarial drug use
Exactly 300 respondents (malaria subjects) were sampled in the study. All the respondents (n = 300) said that they have had malaria episodes before and where 46.33% of the respondents had malaria at least once in 6 months (Figure 1A). This finding corroborates the fact that Nigeria is a hyper-endemic area for malaria [19].
Our findings showed that about 35% of the malaria subjects still self-medicate when they have malaria whereas only about 20% of them visit a doctor for antimalarial drug recommendation (Figure 1B). About 80% of the malaria subjects prefer to source their antimalarial drugs from pharmacy stores while others get theirs from other sources such as caregivers, home nurses, etc. (Figure 1D). Self-medication is a common practice in developing countries. So many factors are responsible for the high level of self-medication in these regions. These factors may include but are not limited to the mildness of the disease; previous knowledge of the disease; unavailability of or poorly equipped health facilities, the unfriendly attitude of healthcare workers, and the high cost of hospitalization [20,21].
More so, the majority of the respondents (43.33%) (n = 130) use antimalarial drugs every three (3) months followed by those that use them once, in at least six months (Figure 1C). This finding shows that the relapse period is short. The majority of the antimalarials target the blood stages of the malaria parasites. However, some parasites have the ability to form dormant stages in the liver called hypnozoites which can trigger new episodes of malaria after a few months or years [22]. Even though this occurrence is common in P. vivax and not P. falciparum (the commonest species in Africa), epidemiological surveillance should look out for the presence of P. vivax in most African countries as malaria parasites are easily exported or imported [23].
  • Choice of antimalarial in use and clearance of malaria signs and symptoms
Our finding shows that artemisinin-based combinations remain the most commonly used antimalarial in the treatment of malaria (90%) (Figure 2A). The choice of antimalarial is mostly predicated on the efficacy of the drug as indicated by the majority of the respondents (38.67% (n = 116) (Figure 2B). The efficacy of a drug is among the main factors to be considered in choosing a drug [24]. Artemisinin and its derivatives used in combination therapies as recommended by the WHO have remained the commonly used antimalarial due to its efficacy profile [1,25].
Generally, the symptoms of malaria are clear between 1–3 days (Figure 2C). The results also showed that 14.66% (n = 44) of the respondents feel signs and symptoms of malaria again after treatment in two weeks, 18.67% (n = 56) in 2–4 weeks, and 66.67% (n = 200) in >4 weeks (Figure 2D). The ACTs, which are the most commonly used antimalarials, drastically clear malaria parasites and resolve malaria symptoms such as fever fast [26]. However, a relapse of malaria in 4 weeks as suggested by most respondents in this study is a cause for worry. Quick relapse in malaria could be attributed to so many factors, which include but are not limited to resistance to antimalarial by the parasites, counterfeit drugs, and wrong diagnosis and treatment [2,10,11].
  • Patients’ satisfaction with antimalarial drugs
The respondents seemed satisfied with the current antimalarials that they use as shown in Table 1. Analyzing the results in Table 1 using the Likert scale, the value falls at 4. This means that respondents generally feel satisfied with the antimalarial that they use. This satisfaction may be related to the comparative efficacy of ACTs over other antimalarials.

3.1.2. Pharmacy Survey

  • Antimalarials used for malaria treatment
From the pharmacy shops surveyed (n = 65) across the major cities of Ebonyi State, all the pharmacies sell ACTs (100%) (Figure 3A). The survey shows that ACTs account for the mostly purchased antimalarial drugs (98.46%) (Figure 3B). This corroborates the results from the patients’ survey, which shows that ACTs are the most commonly used antimalarials (Figure 2B). This finding corroborates that of Mbah et al. who reported that ACTs are the most prescribed and sold antimalarial in Calabar, a city in South-southern part of Nigeria [27].
  • Pattern of antimalarial drug prescription
Figure 4A shows that 52.31% (n = 34) pharmacies believed that the dry/rainy season affects the sale of antimalarial drugs while 47.69% (n = 31) believed it is not affected by the dry/rainy season. Furthermore, 70.77% (n = 46) pharmacies said that there was no remarkable change in the purchase pattern of antimalarial drugs while 29.33% (n = 19) pharmacies believed there was a change in the purchase pattern of antimalarial drugs across the year. Price change, season, epidemiology, non-adherence to preventive mechanisms, recrudescence, and reactivity on patients were among the causes of change in the pattern according to the respondent who believed that there was a change in pattern. Sub-Saharan Africa, where the burden is highest, has two major seasons annually—dry and rainy seasons; however, some areas may have a double-peaked rainy season. The transmission of the parasite, and by extension the disease outbreak, coincides with the spread of the rainy months in the different sub-Saharan African states [28,29,30]. During the season when there are increased pools of stagnant water, malaria episodes increase, consequently leading to increased sales of antimalarial during such seasons.
According to the survey of the pharmacies, about 43% of the pharmacies indicated that 25–50% of the patients present prescriptions before buying their antimalarials (Figure 4B). In developing countries, self-medication is still largely practiced for several reasons, which may include but are not limited to awareness of the disease, mildness of the disease, and lack of adequate health facilities [20]. This may have accounted for the low percentage of patients that buy antimalarials with prescriptions from physicians.
Considering the failure of antimalarials, 20% (n = 13) pharmacies believed that ACTs mostly fail, and 36.92% (n = 24) believed non-artemisinin-based antimalarials mostly fail. Exactly 26.15% (n = 17) said that none of the antimalarials fail while 16.93% (n = 11) were indifferent (Figure 4C). ACTs have been the recommended first-choice antimalarials by the WHO due to their efficacy standard [1]. The efficacy still recorded with other non-artemisinin-based antimalarials could be because of the regained efficacy of drugs like chloroquine against Plasmodium as seen in Malawi and other parts of Africa [31,32]. This, therefore, means that both artemisinin and non-artemisinin-based antimalarials are still essential in the treatment of malarial.
  • Measurement of malaria relapse by sentiment level of pharmacies
The tendency of patients to come back for another treatment for malaria after the first treatment was measured using the sentiment level (SL) of the pharmacies from which the antimalarials are purchased and these were analyzed using the Likert scale as shown in Table 2. While some patients come back earlier than normal for another malaria treatment, others do not. The general feeling of the return for another antimalarial is undecided with an average SL of 2.86. As for whether relapse was higher in patients without a prescription, the pharmacies were undecided (SL = 2.83) and were also undecided about the contribution of purchase without prescription causing relapse (SL = 3.12). The cause of antimalarial treatment failure is multifactorial [33]. This may be why it was difficult for the pharmacies to emphatically link the relapse in malaria to treatment without a prescription.
The pharmacies agree that patients buy antimalarials without a prescription (4.14). Even though most patients buy antimalarials without a prescription, the pharmacies believe strongly that diagnosis before treatment could reduce treatment failure (SL = 4.58). Prompt malaria diagnosis is essential for effective treatment especially in preventing the development of severe malaria and consequent death. In sub-Saharan Africa, rapid diagnostic tests (RDTs) are becoming increasingly the most used method to test for malaria [34]; however, the presumptive approach, which uses only signs and symptoms, is still largely practiced. Misdiagnosis can lead to the misapplication of antimalarials, which may pave way for the development of drug resistance and eventual treatment failure.
The pharmacies disagree that patients stick to their drugs after experiencing treatment failure (SL = 1.93). Every patient wants to get well as soon as possible while taking any drug. Failure in treatment after the use of an antimalarial, especially after rightful usage, may prompt a switch to other antimalarials. The WHO recommends a switch to another more effective first-line drug if the previous fails [35]. Several factors influence the choice of antimalarial use- duration of treatment, drug source, age, and income among other factors [36].

3.2. Active Pharmaceutical Ingredient in Antimalarial Drugs

To validate the results from both patients and pharmacy surveys, in vitro analysis was performed on some antimalarial drugs to ascertain their qualities. The samples were analyzed in comparison to a hypothetical standard based on the amount of active ingredients detected as shown in Figure 5. From the analysis, the 20/120 samples contained 22.15 ± 3.1 mg of artemether and 119.04 ± 1.3 mg of lumefantrine. On the other hand, the 80/480 samples contained 76.80 ± 4.34 mg of artemether and 453.20 ± 27.68 mg of lumefantrine. Analysis of the sample (n = 10) in comparison to a hypothetical standard, showed that there was no significant (p > 0.05) difference between the value of the sample and the standard for artemisinin combination therapy (Hypothetical standard = 20/120 and 80/480, respectively). This implies that the antimalarial drugs met the European Pharmacopoeial requirements of 95–105% [37]. A drug contains excipients in addition to the APIs. These excipients can interact with APIs to enhance or compromise the activity of the APIs [38]. It is therefore a possibility that even when the APIs meet the recommended limit, the excipients may not. This can lead to compromised antimalarial activity. Surveillance of antimalarial APIs should also include the assay for types of excipients to ensure a holistic surveillance. This is especially important as the WHO says that 1 in every 10 medications in developing countries are counterfeits [6].
More so, failure from antimalarial treatment may result from resistance development from the malaria parasites which are evolutionarily dynamic. Drug resistance has almost become the fate of most antimalarial drugs [39]. Surveillance to understand the failure in malaria treatment should therefore include monitoring of the genotypic and phenotypic characteristics of the malaria parasites.

4. Conclusions

Our survey revealed that an artemisinin-based combination remains the gold standard in the treatment of malaria in Ebonyi state Nigeria. However, other classes of non-artemisinin-based therapy are still used to treat malaria. Our in vitro analysis showed that the commonest ACT in Nigeria, artemether/lumefantrine meets the right quality in terms of the level of active pharmaceutical ingredients. Failure to antimalarial treatment is multifactorial and may not be attributed to the level of active pharmaceutical ingredients in the drug. Regular surveillance of the APIs in addition to the level of excipients may be helpful in understanding the underlying causes of failure. Because of the limitations of the current study in terms of the number of respondents and the in vitro drug analysis, an expanded survey and drug analysis are recommended to fully understand the patterns in Nigeria.

Author Contributions

Conceptualization, C.O.E. and J.C.; methodology, J.C.N., A.O.A. and C.I.; software, C.O.E., J.C.N. and C.I.; validation, C.O.E., N.A.O. and C.E.O.; formal analysis, E.A.; investigation, J.C.N., C.I., F.N. and C.O.E.; resources, C.O.E., J.C.N., C.I. and A.O.A.; data curation, K.E.N. and C.O.E.; writing—original draft preparation, C.O.E., J.C.N., C.I., C.A., K.E.N. and N.A.O.; writing—review and editing, C.E.O., C.O.E., K.E.N., C.A. and N.A.O.; visualization, C.O.E.; supervision, C.O.E.; project administration, C.O.E. and J.C.N.; funding acquisition, C.O.E., J.C.N. and C.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This work received ethical approval before execution from the ethical committee of Alex-Ekwueme Federal University Ndufu-Alike Ebonyi State Nigeria. The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of Alex-Ekwueme Federal University Ndufu-Alike Ebonyi State Nigeria (FUNAI/R&D/2021/0036/Vol.2/00288 approved 26 July 2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. WHO. World Malaria Report 2021. Available online: https://www.who.int/publications/i/item/9789240040496 (accessed on 3 January 2022).
  2. WHO. World Malaria Report 2020: 20 Years of Global Progress and Challenges. Available online: https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2020 (accessed on 30 November 2020).
  3. Walker, E.J.; Peterson, G.M.; Grech, J.; Paragalli, E.; Thomas, J. Are we doing enough to prevent poor-quality antimalarial medicines in the developing world? BMC Public Health 2018, 18, 630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. van Vugt, M.; van Beest, A.; Sicuri, E.; van Tulder, M.; Grobusch, M.P. Malaria treatment and prophylaxis in endemic and nonendemic countries: Evidence on strategies and their cost–effectiveness. Future Microbiol. 2011, 6, 1485–1500. [Google Scholar] [CrossRef]
  5. Newton, P.N.; Green, M.D.; Mildenhall, D.C.; Plançon, A.; Nettey, H.; Nyadong, L.; Hostetler, D.M.; Swamidoss, I.; Harris, G.A.; Powell, K.; et al. Poor quality vital anti-malarials in Africa—An urgent neglected public health priority. Malar. J. 2011, 10, 352. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. WHO. 1 in 10 Medical Products in Developing Countries is Substandard or Falsified. Available online: https://www.who.int/news-room/detail/28-11-2017-1-in-10-medical-products-in-developing-countries-is-substandard-or-falsified (accessed on 3 July 2021).
  7. Tabernero, P.; Fernández, F.M.; Green, M.; Guerin, P.J.; Newton, P.N. Mind the gaps—The epidemiology of poor-quality anti-malarials in the malarious world—Analysis of the WorldWide Antimalarial Resistance Network database. Malar. J. 2014, 13, 139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Bhatt, S.; Weiss, D.J.; Cameron, E.; Bisanzio, D.; Mappin, B.; Dalrymple, U.; Battle, K.E.; Moyes, C.L.; Henry, A.; Eckhoff, P.A.; et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature 2015, 526, 207–211. [Google Scholar] [CrossRef] [Green Version]
  9. Lalani, M.; Kaur, H.; Mohammed, N.; Mailk, N.; Wyk, A.; van Jan, S.; Kakar, R.M.; Mojadidi, M.K.; Leslie, T. Substandard Antimalarials Available in Afghanistan: A Case for Assessing the Quality of Drugs in Resource Poor Settings. Am. J. Trop. Med. Hyg. 2015, 92, 51–58. [Google Scholar] [CrossRef] [Green Version]
  10. Thomas, J.A.; Tan, M.S.Y.; Bisson, C.; Borg, A.; Umrekar, T.R.; Hackett, F.; Hale, V.L.; Vizcay-Barrena, G.; Fleck, R.A.; Snijders, A.P.; et al. A protease cascade regulates release of the human malaria parasite Plasmodium falciparum from host red blood cells. Nat. Microbiol. 2018, 3, 447–455. [Google Scholar] [CrossRef]
  11. Yewhalaw, D.; Wassie, F.; Steurbaut, W.; Spanoghe, P.; Van Bortel, W.; Denis, L.; Tessema, D.A.; Getachew, Y.; Coosemans, M.; Duchateau, L.; et al. Multiple Insecticide Resistance: An Impediment to Insecticide-Based Malaria Vector Control Program. PLoS ONE 2011, 6, e16066. [Google Scholar] [CrossRef] [Green Version]
  12. Newton, P.N.; Green, M.D.; Fernández, F.M. Impact of poor-quality medicines in the “developing” world. Trends Pharmacol. Sci. 2010, 31, 99–101. [Google Scholar] [CrossRef] [Green Version]
  13. Newton, P.N.; Caillet, C.; Guerin, P.J. A link between poor quality antimalarials and malaria drug resistance? Expert Rev. Anti. Infect. Ther. 2016, 14, 531–533. [Google Scholar] [CrossRef]
  14. Newton, P.N.; Amin, A.A.; Bird, C.; Passmore, P.; Dukes, G.; Tomson, G.; Simons, B.; Bate, R.; Guerin, P.J.; White, N.J. The primacy of public health considerations in defining poor quality medicines. PLoS Med. 2011, 8, e1001139. [Google Scholar] [CrossRef] [Green Version]
  15. Kelesidis, T.; Falagas, M.E. Substandard/Counterfeit Antimicrobial Drugs. Clin. Microbiol. Rev. 2015, 28, 443–464. [Google Scholar] [CrossRef] [Green Version]
  16. White, N.J.; Pongtavornpinyo, W.; Maude, R.J.; Saralamba, S.; Aguas, R.; Stepniewska, K.; Lee, S.J.; Dondorp, A.M.; White, L.J.; Day, N.P. Hyperparasitaemia and low dosing are an important source of anti-malarial drug resistance. Malar. J. 2009, 8, 253. [Google Scholar] [CrossRef] [Green Version]
  17. Karunamoorthi, K. The counterfeit anti-malarial is a crime against humanity: A systematic review of the scientific evidence. Malar. J. 2014, 13, 209. [Google Scholar] [CrossRef] [Green Version]
  18. Onwujekwe, O.; Kaur, H.; Dike, N.; Shu, E.; Uzochukwu, B.; Hanson, K.; Okoye, V.; Okonkwo, P. Quality of anti-malarial drugs provided by public and private healthcare providers in south-east Nigeria. Malar. J. 2009, 8, 22. [Google Scholar] [CrossRef] [Green Version]
  19. Chimezie, R.O. Malaria Hyperendemicity: The Burden and Obstacles to Eradication in Nigeria. J. Biosci. Med. 2020, 8, 165–178. [Google Scholar] [CrossRef]
  20. Shafie, M.; Eyasu, M.; Muzeyin, K.; Worku, Y.; Martín-Aragón, S. Prevalence and determinants of self-medication practice among selected households in Addis Ababa community. PLoS ONE 2018, 13, e0194122. [Google Scholar] [CrossRef] [Green Version]
  21. Esan, D.T.; Fasoro, A.A.; Odesanya, O.E.; Esan, T.O.; Ojo, E.F.; Faeji, C.O. Assessment of Self-Medication Practices and Its Associated Factors among Undergraduates of a Private University in Nigeria. J. Environ. Public Health 2018, 2018, 5439079. [Google Scholar] [CrossRef] [Green Version]
  22. Voorberg-van der Wel, A.; Kocken, C.H.M.; Zeeman, A.M. Modeling Relapsing Malaria: Emerging Technologies to Study Parasite-Host Interactions in the Liver. Front. Cell. Infect. Microbiol. 2021, 10, 871. [Google Scholar] [CrossRef]
  23. Howes, R.E.; Reiner, R.C.; Battle, K.E.; Longbottom, J.; Mappin, B.; Ordanovich, D.; Tatem, A.J.; Drakeley, C.; Gething, P.W.; Zimmerman, P.A.; et al. Plasmodium vivax Transmission in Africa. PLoS Negl. Trop. Dis. 2015, 9, e0004222. [Google Scholar] [CrossRef]
  24. Buusman, A.; Andersen, M.; Merrild, C.; Elverdam, B. Factors influencing GPs’ choice between drugs in a therapeutic drug group. A qualitative study. Scand. J. Prim. Health Care 2007, 25, 208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Staines, H.M.; Krishna, S. Treatment and Prevention of Malaria: Antimalarial Drug Chemistry, Action and Use; Springer: Basel, Switzerland, 2012; ISBN 9783034604802. [Google Scholar]
  26. Van Vugt, M.; Brockman, A.; Gemperli, B.; Luxemburger, C.; Gathmann, I.; Royce, C.; Slight, T.; Looareesuwan, S.; White, N.J.; Nosten, F. Randomized comparison of artemether-benflumetol and artesunate—Mefloquine in treatment of multidrug-resistant falciparum malaria. Antimicrob. Agents Chemother. 1998, 42, 135–139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Mbah, M.; Sunday, O.; Mark, O. Commonly Used Antimalarial Drugs in Calabar Metropolis, Nigeria. J. Infect. Dis. Travel Med. 2020, 4, 000138. [Google Scholar] [CrossRef]
  28. Mbouna, A.D.; Tompkins, A.M.; Lenouo, A.; Asare, E.O.; Yamba, E.I.; Tchawoua, C. Modelled and observed mean and seasonal relationships between climate, population density and malaria indicators in Cameroon. Malar. J. 2019, 18, 359. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Samdi, L.M.; Ajayi, J.A.; Oguche, S.; Ayanlade, A. Seasonal variation of malaria parasite density in paediatric population of Northeastern Nigeria. Glob. J. Health Sci. 2012, 4, 103–109. [Google Scholar] [CrossRef] [Green Version]
  30. Asare, E.O.; Amekudzi, L.K. Assessing climate driven malaria variability in Ghana using a regional scale dynamical model. Climate 2017, 5, 20. [Google Scholar] [CrossRef] [Green Version]
  31. Kublin, J.G.; Cortese, J.F.; Njunju, E.M.; Mukadam, R.A.G.; Wirima, J.J.; Kazembe, P.N.; Djimdé, A.A.; Kouriba, B.; Taylor, T.E.; Plowe, C.V. Reemergence of chloroquine-sensitive Plasmodium falciparum malaria after cessation of chloroquine use in Malawi. J. Infect. Dis. 2003, 187, 1870–1875. [Google Scholar] [CrossRef] [Green Version]
  32. Laufer, M.K.; Thesing, P.C.; Eddington, N.D.; Masonga, R.; Dzinjalamala, F.K.; Takala, S.L.; Taylor, T.E.; Plowe, C.V. Return of Chloroquine Antimalarial Efficacy in Malawi. N. Engl. J. Med. 2006, 355, 1959–1966. [Google Scholar] [CrossRef]
  33. Sowunmi, A.; Adewoye, E.O.; Gbotsho, G.O.; Happi, C.T.; Sijuade, A.; Folarin, O.A.; Okuboyejo, T.M.; Michael, O.S. Factors contributing to delay in parasite clearance in uncomplicated falciparum malaria in children. Malar. J. 2010, 9, 53. [Google Scholar] [CrossRef] [Green Version]
  34. WHO. World Malaria Report 2018. Available online: https://www.mmv.org/sites/default/files/uploads/docs/publications/WorldMalariaReport2018.pdf (accessed on 25 December 2020).
  35. WHO. Methods for Surveillance of Antimalarial Drug Efficacy. Available online: https://www.who.int/publications/i/item/9789241597531 (accessed on 1 July 2022).
  36. Watsierah, C.A.; Jura, W.G.Z.O.; Oyugi, H.; Abong’o, B.; Ouma, C. Factors determining anti-malarial drug use in a peri-urban population from malaria holoendemic region of western Kenya. Malar. J. 2010, 9, 295. [Google Scholar] [CrossRef]
  37. Atemnkeng, M.A.; De Cock, K.; Plaizier-Vercammen, J. Quality control of active ingredients in artemisinin-derivative antimalarials within Kenya and DR Congo. Trop. Med. Int. Health 2007, 12, 68–74. [Google Scholar] [CrossRef]
  38. Vranić, E. Basic Principles of Drug—Excipients Interactions. Bosn. J. Basic Med. Sci. 2004, 4, 56. [Google Scholar] [CrossRef]
  39. WHO. Report on Antimalarial Drug Efficacy, Resistance and Response: 10 Years of Surveillance (2010–2019). Available online: https://www.who.int/publications/i/item/9789240012813 (accessed on 27 December 2020).
Figure 1. Periodicity of malaria. (A) Periodicity of malaria in Ebonyi State Nigeria (B) Recommenders of antimalarial drugs for malaria treatment (C) Frequency of antimalarial use in Ebonyi State Nigeria (D) Points of antimalarial purchase for treatment of malaria.
Figure 1. Periodicity of malaria. (A) Periodicity of malaria in Ebonyi State Nigeria (B) Recommenders of antimalarial drugs for malaria treatment (C) Frequency of antimalarial use in Ebonyi State Nigeria (D) Points of antimalarial purchase for treatment of malaria.
Jox 13 00003 g001
Figure 2. Choice of antimalarials. (A) Commonly used antimalarials by patients (B) Determinants of antimalarial choice (C) Time to clearance of malaria symptoms (D) Time to the reappearance of malaria symptoms after treatment.
Figure 2. Choice of antimalarials. (A) Commonly used antimalarials by patients (B) Determinants of antimalarial choice (C) Time to clearance of malaria symptoms (D) Time to the reappearance of malaria symptoms after treatment.
Jox 13 00003 g002
Figure 3. Antimalarials for malaria treatment—Pharmacy perspective. (A) Antimalarials sold by pharmacies (B) Commonly purchased antimalarials.
Figure 3. Antimalarials for malaria treatment—Pharmacy perspective. (A) Antimalarials sold by pharmacies (B) Commonly purchased antimalarials.
Jox 13 00003 g003
Figure 4. Pattern of antimalarial prescription. (A) Impact of rainy/dry season on antimalarial sale (B) Antimalarial purchase with prescription and (C) Failure pattern of antimalarials.
Figure 4. Pattern of antimalarial prescription. (A) Impact of rainy/dry season on antimalarial sale (B) Antimalarial purchase with prescription and (C) Failure pattern of antimalarials.
Jox 13 00003 g004
Figure 5. Active Pharmaceutical Ingredients in Artemether/Lumefantrine for (A) Single strength compared to the hypothetical standard 20/120 and (B) Double strength compared to the hypothetical standard 80/480. The values represent means from 10 samples each for 20/120 and 80/480 of artemether/lumefantrine respectively.
Figure 5. Active Pharmaceutical Ingredients in Artemether/Lumefantrine for (A) Single strength compared to the hypothetical standard 20/120 and (B) Double strength compared to the hypothetical standard 80/480. The values represent means from 10 samples each for 20/120 and 80/480 of artemether/lumefantrine respectively.
Jox 13 00003 g005
Table 1. Satisfaction level with antimalarials.
Table 1. Satisfaction level with antimalarials.
Sentiment LevelNumerical ValueResponseTotal
Highly Satisfactory592460
Satisfactory4178712
Neutral32266
Unsatisfactory2714
Highly Unsatisfactory111
Total 3001253
Average sentiment level4.18
Table 2. Measurement of malaria relapse by Sentiment level of pharmacies.
Table 2. Measurement of malaria relapse by Sentiment level of pharmacies.
QuestionStrongly AgreeAgreeUndecidedDisagreeStrongly DisagreeAverage Sentiment
Patients come back earlier than normal to buy antimalarial for treatment again due to failure of treatment?15101011192.86
Relapse is higher in patients without prescription1082211142.83
Antimalarial purchase without prescription contributes to treatment failure1315177133.12
Most patients buy antimalarial without diagnosis31199514.14
Diagnosis before treatment can reduce treatment failure5173224.58
Patients that have experienced treatment failure stick to the class of drug leading24918271.93
Note: Sentiment levels (SL)—Strongly agree = 5 (4.5–5), Agree = 4 (3.5–4.4), Undecided = 3 (2.5–3.4), Disagree = 2 (1.5–2.4) and Strongly disagree = 1 (0.5–1.4).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Egwu, C.O.; Aloke, C.; Chukwu, J.; Nwankwo, J.C.; Irem, C.; Nwagu, K.E.; Nwite, F.; Agwu, A.O.; Alum, E.; Offor, C.E.; et al. Assessment of the Antimalarial Treatment Failure in Ebonyi State, Southeast Nigeria. J. Xenobiot. 2023, 13, 16-26. https://doi.org/10.3390/jox13010003

AMA Style

Egwu CO, Aloke C, Chukwu J, Nwankwo JC, Irem C, Nwagu KE, Nwite F, Agwu AO, Alum E, Offor CE, et al. Assessment of the Antimalarial Treatment Failure in Ebonyi State, Southeast Nigeria. Journal of Xenobiotics. 2023; 13(1):16-26. https://doi.org/10.3390/jox13010003

Chicago/Turabian Style

Egwu, Chinedu Ogbonnia, Chinyere Aloke, Jennifer Chukwu, Joshua Chidiebere Nwankwo, Chinemerem Irem, Kingsley E. Nwagu, Felix Nwite, Anthony Ogbonnaya Agwu, Esther Alum, Christian E. Offor, and et al. 2023. "Assessment of the Antimalarial Treatment Failure in Ebonyi State, Southeast Nigeria" Journal of Xenobiotics 13, no. 1: 16-26. https://doi.org/10.3390/jox13010003

APA Style

Egwu, C. O., Aloke, C., Chukwu, J., Nwankwo, J. C., Irem, C., Nwagu, K. E., Nwite, F., Agwu, A. O., Alum, E., Offor, C. E., & Obasi, N. A. (2023). Assessment of the Antimalarial Treatment Failure in Ebonyi State, Southeast Nigeria. Journal of Xenobiotics, 13(1), 16-26. https://doi.org/10.3390/jox13010003

Article Metrics

Back to TopTop