| Literature DB >> 29764407 |
Erin J Walker1,2, Gregory M Peterson3, James Grech1,2, Evie Paragalli1,2, Jackson Thomas4,5.
Abstract
BACKGROUND: Malaria is a deadly parasitic disease that affects more than 3 billion people worldwide, in predominantly resource-poor countries. Despite malaria being preventable and treatable, a large number of adults and children, mostly in Africa, die from this disease each year. One contributor to needless morbidity and mortality is the production and distribution of poor-quality antimalarial medicines; indeed, it is estimated that over 122,000 deaths of children under 5 years of age in sub-Saharan countries were caused by poor-quality antimalarial medicines, in 2013 alone. DISCUSSION: Poor-quality medicines include those that are deliberately falsified for monetary gain and may contain incorrect amounts or even no active ingredients at all, as well as products that are inadequate due to poor compliance to conventional quality standards and medicines that have degraded over time. Across a number of studies it has been reported that 4-92% of antimalarials tested are poor quality. This represents a massive risk to the population subjected to the use of these medicines, in the form of more severe and prolonged illness, additional costs to individuals who already have very little money, and lack of confidence in treatments. The continuing circulation of poor-quality medicines results from a number of factors, including insufficient regulatory capacity in susceptible countries, inadequate funding to perform regulatory functions, poor coordination between regulatory authorities, and inefficient import/export control systems. To combat the distribution of poor-quality medicines a number of organisations have developed guidelines for the procurement of antimalarials, and programs to educate consumers about the risks of poor-quality medicines and incentivise retailers to identify and report falsified medicines. The development of new technologies to quickly identify poor-quality medicines in the field is also essential, and some significant advances have been made.Entities:
Keywords: Antimalarial; Counterfeit; Malaria; Poor-quality; Substandard
Mesh:
Substances:
Year: 2018 PMID: 29764407 PMCID: PMC5952616 DOI: 10.1186/s12889-018-5521-7
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
A partial summary of PQAs reported in the literature from 2011 to 2017
| Drug(s) | Issue | Number of PQM failed/tested (%) | Country | Study |
|---|---|---|---|---|
| Artemisinin-based drugs, halofantrine | Incorrect amount of API, API absent entirely, quinine substituted for artesunate | 35/59 (59%) | Burkina Faso, Chad, Cameroon, Democratic Republic of the Congo, Ghana, Kenya, Nigeria, Rwanda, Senegal | Newton et al. 2011 [ |
| Artesunate | No artesunate present | 1 (case report) | Equatorial Guinea | Chaccour et al. 2012 [ |
| Artemisinin-based drugs, chloroquine, primaquine | Incorrect amount of API | 18/77 (23%) | Guyana | Evans et al. 2012 [ |
| Incorrect packaging | 30/77 (38%) | |||
| Artesunate and amodiaquine | Incorrect amount of API | 13/16 (81%) | Ghana | Affum et al. 2013 [ |
| Artemisinin-based drugs | Incorrect amount of API | 13/14 (92%) | Ghana | El-Duah et al. 2012 [ |
| Artemisinin-based drugs, chloroquine, quinine, primaquine, amodiaquine | Incorrect amount of API | 36/301 (11%) | Papua New Guinea | Hetzel et al. 2014 [ |
| Artemisinin-based drugs | Incorrect amount of API | 94/124 (by HPLC) (75%) 112/125 (by SQ-TLC) (89%) | Ghana and Togo | Osei-Safo et al. 2014 [ |
| Artemisinin-based drugs | Incorrect amount of API | 69/1737 (4%) | Tanzania | ACT Consortium Drug Quality Project Team 2015 [ |
| Artemisinin-based drugs | Incorrect amount of API | 206/3024 (6%) | Nigeria | Kaur et al. 2015 [ |
| Falsified (0% API) | 35/3024 (1%) | |||
| Degradation products of API present | 38/3024 (1%) | |||
| Artemisinin-based drugs, chloroquine, quinine, sulfadoxine/pyrimethamine | Incorrect amount of API, incorrect labelling | 8/28 (28%) | Cambodia | Yong et al. 2015 [ |
| Incorrect amount of API | 1/7 (14%) | Indonesia | ||
| Incorrect amount of API, counterfeit packaging | 15/30 (50%) | Laos | ||
| Incorrect amount of API | 1/10 (10%) | Myanmar | ||
| Incorrect amount of API | 4/8 (50%) | Thailand | ||
| Incorrect amount of API | 1/12 (8%) | Vietnam | ||
| Artemisinin-based drugs | Incorrect amount of API | 91/291 (31%) | Cambodia | Yeung et al. 2015 [ |
| Expired at time of purchase | 21/212 (9%) | |||
| Range of antimalarial drugs | Incorrect amount of API | 9/146 (6%) | Laos | Tabernero et al. 2015 [ |
| Range of antimalarial drugs | Incorrect amount of API | 12/37 (32%) | Afghanistan | Lalani et al. 2015 [ |
| Artemisinin-based drugs | Expired at time of purchase | 23/256 (8%) | Ghana | Tivura et al. 2016 [ |
| Incorrect amount of API | 90/254 (35%) | |||
| Quinine sulfate | Incorrect amount of API | 7/56a (12%) | Malawi | Khuluza et al. 2017 [ |
| Sulfadoxine/pyrimethamine (multiple different samples) | Both stated APIs absent but other APIs present; falsified identity; incorrect amount of API | |||
| Artemisinin-based drugs | Incorrect amount of API | 11/30 (36%) | Nigeria | Izevbekhai et al. 2017 [ |
API active pharmaceutical ingredient, HPLC high-performance liquid chromatography, SQ-TLC semi-quantitative thin-layer chromatography; a - pharmaceuticals tested included antibiotics