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Malaria is the most life-threatening disease prevalent in tropical and subtropical countries causing about 1–2 million deaths every year worldwide. Plasmodium vivax, P. falciparum, P. malariae and P. ovale are four distinct species that are causative agent for malaria in human beings. There are only a limited number of clinically effective antimalarial agents in existing practice. Problems such as poor and erratic oral bioavailability, lack of dose proportionality and degradation in gastrointestinal tract are the main reasons for poor clinical effectiveness of existing antimalarial agents. Rapid drug resistance and wide spread presence are the major hurdle to combat malaria. In addition, development of new chemical entities (NCEs) and launching of effective formulation into the market takes a long time and requires lot of revenue. In the past, solid dispersions (Abdul-Fattah et al., 2002), liposomes, polymeric nanoparticle and dendrimers have been developed and explored to counter the malaria. To improve the efficacy of the antimalarial agents, different types of route of administration such as transdermal and rectal routes have been utilized. To enhance the therapeutic efficacy of currently existing drugs, combination therapy may be proved as a boon which involves the participation of two antimalarial drugs with distinct site and mode of action. From long, combination therapy is preferred over monotherapy for malarial treatment; and among various combination therapies, artemisinin- based combination therapy is most preferred.
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"Formulation and Evaluation of Nanoliposome of Artemether and Lumefantrine of Antimalarial Drugs", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a745-a763, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511088.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator