View Article

Abstract

The evolution of drug delivery science has ushered in a new era of precision therapeutics, driven by the development of Novel Drug Delivery Systems (NDDS) that aim to overcome the limitations of conventional dosage forms. This review provides a comprehensive analysis of recent advances in pharmacological evaluation strategies for NDDS, encompassing in vitro, ex vivo, and in vivo models across diverse therapeutic domains. Emphasis is placed on disease-specific evaluation approaches, regulatory considerations, and emerging research trends, including personalized drug delivery, theranostics, nanomedicine, and artificial intelligence–assisted design. Challenges such as the translational gap between preclinical and clinical outcomes, manufacturing scalability, and long-term safety concerns are critically examined. The discussion also highlights future perspectives in smart, targeted, and patient-tailored delivery systems that promise to transform clinical outcomes. By integrating current innovations with strategic evaluation methods, NDDS research can bridge the path from laboratory innovation to successful clinical translation, ultimately enhancing therapeutic efficacy and patient care.

Keywords

Novel Drug Delivery Systems, Pharmacological Evaluation, Targeted Drug Delivery, Theranostics, Nanomedicine, Personalized Medicine, Regulatory Considerations, Drug Release Kinetics.

Introduction

Drug delivery plays a pivotal role in modern pharmacotherapy, bridging the gap between the physicochemical properties of an active pharmaceutical ingredient (API) and its intended therapeutic effect in the human body. While the discovery of potent drugs has expanded significantly over the last few decades, the clinical success of these molecules depends heavily1 on their ability to reach the target site in an effective concentration for a desired duration, without causing unacceptable side effects. Conventional dosage forms such as tablets, capsules, injections, and topical preparations, though widely used, often suffer from significant2,3 limitations. These include poor aqueous solubility, low permeability, erratic absorption, rapid metabolism, systemic toxicity, and the inability to achieve site-specific delivery. Such drawbacks often lead to suboptimal therapeutic outcomes, necessitating frequent dosing, which in turn affects patient compliance.4-6

In response to these challenges, the concept of Novel Drug Delivery Systems (NDDS) has emerged as a revolutionary approach to optimize the delivery of therapeutic agents. NDDS are designed to improve the pharmacokinetic and pharmacodynamic profiles of drugs, enhance solubility and stability, enable controlled and targeted release, reduce dosing frequency, and minimize adverse effects. These systems encompass a wide range of platforms such as liposomes, nanoparticles, micelles, dendrimers, transdermal patches, and stimuli-responsive carriers, each offering unique advantages for specific clinical applications.7-9

However, the mere design of an innovative delivery system is insufficient without rigorous pharmacological evaluation. Comprehensive pharmacological assessment is essential to determine the safety, efficacy, and therapeutic superiority of NDDS over conventional formulations. This evaluation involves a combination of in-vitro assays, ex-vivo models, and in-vivo studies to assess parameters such as drug release kinetics, permeability, biodistribution, therapeutic efficacy, and toxicity. The integration of advanced analytical techniques and imaging modalities further enhances the reliability of such assessments. Ultimately, pharmacological evaluation not only validates the scientific premise of NDDS but also supports regulatory approval and clinical adoption, ensuring that novel formulations deliver tangible benefits to patients.10-13

Table 1: Comparison between Conventional Dosage Forms and Novel Drug Delivery Systems14-18

Parameter

Conventional Dosage Forms

Novel Drug Delivery Systems (NDDS)

Drug solubility

Limited improvement; often requires co-solvents or salts

Significant enhancement via nanocarriers, lipid-based systems

Bioavailability

Often low due to poor absorption or first-pass metabolism

Improved through targeted delivery and absorption enhancement

Drug release

Immediate or short duration

Controlled, sustained, or stimuli-triggered release

Targeting ability

Minimal, mostly systemic distribution

Site-specific delivery using ligands, antibodies, or stimuli

Toxicity

Higher systemic toxicity due to off-target exposure

Reduced by localized delivery and controlled release

Dosing frequency

Often high due to rapid clearance

Reduced via sustained or depot formulations

Patient compliance

Moderate; affected by frequent dosing and side effects

Improved through reduced dosing and enhanced therapeutic outcomes

Classification of Novel Drug Delivery Systems (NDDS):

Novel Drug Delivery Systems encompass a diverse range of innovative platforms developed to address the limitations of conventional dosage forms. The classification of NDDS can be approached from various perspectives based on the carrier material (lipid-based, polymer-based), the route of administration (oral, transdermal, parenteral, pulmonary, ocular), or the delivery mechanism (controlled release, targeted delivery, stimuli-responsive release). Each system is designed with a specific goal, such as improving solubility, enhancing bioavailability, achieving site-specific delivery, or providing controlled and sustained release of therapeutic agents. The following major categories highlight the technological diversity within NDDS.19-22

1. Lipid-Based Drug Delivery Systems

Lipid-based carriers such as liposomes, niosomes, solid lipid nanoparticles (SLNs), and nanostructured lipid carriers (NLCs) are highly effective in improving the solubility of hydrophobic drugs and facilitating targeted delivery. Liposomes, composed of phospholipid bilayers, can encapsulate both hydrophilic and lipophilic drugs, offering biocompatibility and reduced systemic toxicity. Niosomes, formed from non-ionic surfactants, are chemically stable and cost-effective alternatives. SLNs and NLCs provide controlled drug release and physical stability, making them suitable for both systemic and topical delivery.

2. Polymeric Drug Delivery Systems

Polymeric carriers include polymeric nanoparticles, micelles, dendrimers, and nanogels, which utilize natural or synthetic polymers to encapsulate or conjugate drugs. Polymeric micelles enhance the solubility and stability of poorly soluble drugs, while dendrimers provide highly branched, nanoscale structures with modifiable surfaces for drug attachment or targeting ligands. Nanogels offer high water content, biodegradability, and responsiveness to environmental stimuli, making them ideal for localized delivery in cancer, inflammation, and ocular disorders.

3. Hybrid and Composite Systems

Hybrid drug delivery systems combine the advantages of lipid and polymeric carriers, resulting in lipid–polymer hybrid nanoparticles, nanocomposites, and bio-conjugated systems. These platforms provide superior stability, controlled release, and targeting capabilities. For instance, lipid–polymer hybrids use a polymeric core for sustained release and a lipid shell for biocompatibility and enhanced cellular uptake.

4. Targeted Drug Delivery Systems

Targeted systems utilize ligand-conjugated carriers, antibody–drug conjugates (ADCs), aptamer-based delivery, and magnetic nanoparticles to deliver drugs specifically to diseased cells or tissues. This strategy minimizes off-target toxicity and enhances therapeutic efficacy. Targeting can be achieved via active mechanisms (ligand–receptor interaction) or passive mechanisms (enhanced permeability and retention effect in tumors).23-24

Figure 1: Various types of NDDS (e.g., liposomes, polymeric nanoparticles)

5. Stimuli-Responsive Drug Delivery Systems

These “smart” delivery systems release drugs in response to internal stimuli (pH, redox potential, enzymes) or external triggers (temperature, magnetic field, ultrasound, light). Examples include pH-sensitive nanocarriers for tumor-specific release and thermosensitive liposomes for hyperthermia-triggered delivery.25-28

6. Other NDDS Platforms

Several other innovative delivery systems include transdermal patches, gastroretentive floating systems, osmotic pumps, microneedles, and inhalable nanoparticles. These platforms enhance patient compliance, provide non-invasive administration routes, and enable localized drug action.

Table 2: Major Categories of Novel Drug Delivery Systems and Their Key Features

Category

Examples

Key Advantages

Applications

Lipid-based systems

Liposomes, niosomes, SLNs, NLCs

Improve solubility, biocompatible, controlled release

Cancer therapy, vaccines, antifungal delivery

Polymeric systems

Polymeric micelles, dendrimers, nanogels

Stability, tunable release, targeting potential

Anticancer, ocular, CNS drug delivery

Hybrid systems

Lipid–polymer hybrids, nanocomposites

Combined benefits of lipid and polymer systems

Gene therapy, sustained release injections

Targeted systems

Ligand-conjugated carriers, ADCs, aptamer systems

Site-specific delivery, reduced toxicity

Oncology, autoimmune diseases

Stimuli-responsive

pH-sensitive, thermo-responsive, enzyme-triggered

On-demand drug release, precision dosing

Tumor therapy, infection control

Other platforms

Transdermal patches, gastroretentive systems

Non-invasive, prolonged gastric retention, improved compliance

Pain management, antidiabetic therapy

Pharmacological Evaluation Parameters for Novel Drug Delivery Systems29-48

The successful design of a Novel Drug Delivery System (NDDS) must be supported by comprehensive pharmacological evaluation to confirm its therapeutic superiority over conventional formulations. Pharmacological evaluation is an integrated process combining in-vitro, ex-vivo, and in-vivo studies, aimed at assessing the safety, efficacy, and mechanism of action of the delivery system. These evaluations not only help in understanding the drug release kinetics and biodistribution but also form the basis for regulatory approvals and clinical translation.

NDDS often exhibit altered pharmacokinetic and pharmacodynamic behavior due to changes in drug solubility, stability, or targeting ability. Therefore, evaluation protocols must be tailored to account for the unique characteristics of the delivery system. Broadly, pharmacological evaluation can be divided into three major stages: in-vitro, ex-vivo, and in-vivo studies, often complemented by analytical and imaging techniques for better mechanistic insights.

In-vitro Pharmacological Evaluation

In-vitro testing serves as the first line of screening for NDDS, providing essential data on the formulation’s fundamental characteristics before animal or human trials. Such studies simulate physiological conditions to evaluate drug release, permeability, stability, and cytotoxicity. By conducting these tests early in development, researchers can optimize formulation parameters and predict potential in-vivo performance with minimal resource expenditure.

1. Drug Release Studies

Drug release profiling is one of the most critical in-vitro evaluations, as it helps determine the rate and mechanism by which the drug exits the delivery system. This is typically conducted using USP dissolution apparatus, including Type I (basket method), Type II (paddle method), and modified Franz diffusion cells for semisolid formulations. The choice of apparatus depends on the dosage form and intended route of administration.

Mathematical modeling is employed to interpret release kinetics, with common models including Zero-order (constant release rate), First-order (release rate dependent on drug concentration), Higuchi model (release governed by diffusion), and Korsmeyer–Peppas equation (mechanistic modeling for polymeric systems). For targeted delivery systems, pH-dependent drug release studies are essential, simulating environments such as gastric (pH 1.2), intestinal (pH 6.8), and colonic (pH 7.4) conditions to ensure site-specific release.

2. Permeation and Absorption Studies

Permeation studies assess the ability of the drug to cross biological membranes, a crucial determinant of bioavailability. In NDDS research, Parallel Artificial Membrane Permeability Assay (PAMPA) and Caco-2 cell monolayer models are widely used for predicting intestinal absorption. For topical and transdermal formulations, the Franz diffusion cell setup is employed, using synthetic membranes or biological tissues to measure drug permeation rates. Such studies are essential in determining whether the enhanced solubility or encapsulation provided by NDDS translates into improved membrane transport.

3. Stability Testing

Stability testing ensures that the NDDS retains its intended physical, chemical, and therapeutic properties over time. This includes accelerated and real-time stability studies conducted according to ICH guidelines, where formulations are exposed to controlled variations in temperature, humidity, and light. Physical stability is evaluated by monitoring particle size, polydispersity index (PDI), and zeta potential, while chemical stability involves tracking drug degradation or loss of potency. Stability data are critical for determining storage conditions and shelf life.

4. Cytotoxicity and Biocompatibility

Safety at the cellular level is assessed through cytotoxicity assays. Commonly used tests include the MTT assay, which measures mitochondrial activity as an indicator of cell viability; the neutral red uptake assay, which evaluates lysosomal integrity; and the LDH release assay, which detects cell membrane damage. For NDDS intended for intravenous administration, hemolysis assays are performed to determine potential red blood cell damage. Collectively, these evaluations provide early indicators of formulation safety.

Ex-vivo Pharmacological Evaluation

Ex-vivo testing bridges the gap between controlled in-vitro conditions and the complexity of living systems. These studies use isolated tissues or organs to assess pharmacological responses in a setting that preserves natural physiological structures.

Figure 2: Blood–Brain Barrier with Traditional Drug Limitations

In-vivo Pharmacological Evaluation49-58

In-vivo studies remain the gold standard for evaluating the therapeutic performance, safety, and pharmacokinetic behavior of NDDS in a living organism. These experiments provide data on drug absorption, distribution, metabolism, and excretion (ADME), as well as on therapeutic efficacy and safety profiles.

1. Pharmacokinetics (PK)

Pharmacokinetic studies determine how the body handles the drug over time. Parameters such as Cmax (maximum plasma concentration), Tmax (time to reach Cmax), AUC (area under the curve), t½ (elimination half-life), clearance, and volume of distribution are calculated from plasma concentration-time profiles. These studies are typically performed in small animals such as rats or rabbits before progressing to large animals like dogs or primates.

2. Pharmacodynamics (PD)

Pharmacodynamic evaluation measures the biological and therapeutic effects of NDDS. These studies often employ disease-specific models — for example, tumor regression in cancer models, glucose regulation in diabetic models, or seizure suppression in epilepsy models. Additional parameters, such as onset of action, intensity of response, and duration of effect, are also assessed to determine the clinical relevance of the delivery system.

3. Biodistribution Studies

Biodistribution analysis is crucial for confirming whether the NDDS successfully delivers the drug to the intended site while minimizing exposure to non-target tissues. This can be achieved through radiolabeling techniques (e.g., 99mTc, ^14C labeling) or fluorescent tagging, followed by quantification in harvested organs. Imaging technologies such as gamma scintigraphy and fluorescence microscopy enhance real-time tracking of drug localization.

4. Toxicity Assessments

Toxicological evaluation ensures the NDDS does not induce harmful effects. Acute toxicity studies involve administering a single high dose, whereas sub-chronic and chronic toxicity studies assess repeated dosing over extended periods. These assessments include histopathological examination of vital organs (liver, kidney, spleen, lungs) and hematological and biochemical analyses to detect systemic toxicity or organ damage.

Table 3: Overview of Pharmacological Evaluation Techniques for NDDS

Stage

Evaluation Parameter

Method/ Technique

Purpose

In-vitro

Drug release

USP dissolution apparatus, Franz diffusion

Determine release profile and kinetics

 

Permeation

Caco-2, PAMPA

Predict intestinal absorption

 

Stability

ICH stability protocols

Assess physical and chemical stability

 

Cytotoxicity

MTT assay, hemolysis

Evaluate cell viability and biocompatibility

Ex-vivo

Permeation

Excised skin or mucosa

Predict in-vivo penetration

 

Mucoadhesion

Detachment force measurement

Assess bioadhesive strength

In-vivo

Pharmacokinetics

Blood sampling, LC-MS/MS

Determine PK parameters

 

Pharmacodynamics

Disease-specific animal models

Evaluate therapeutic efficacy

 

Biodistribution

Radiolabeling, fluorescence imaging

Confirm targeting efficiency

 

Toxicity

Acute/chronic studies, histopathology

Ensure safety and tolerability

Disease-Specific Pharmacological Evaluation Models for Novel Drug Delivery Systems (NDDS)59-65

The effectiveness of a Novel Drug Delivery System (NDDS) can only be truly established when it is tested in disease models that accurately reflect the complexity of human pathological conditions. These specialized models allow researchers to investigate not only how the system distributes the drug within the body (pharmacokinetics) and how it influences biological responses (pharmacodynamics), but also how well it achieves site-specific targeting, sustains therapeutic benefits, and minimizes unwanted side effects.

1. Cancer Models

Cancer continues to be one of the most prominent fields for NDDS development, driven by the critical need to concentrate potent drugs within tumors while sparing healthy tissues. Tumor-bearing animal models are used to study the therapeutic efficacy and targeting capabilities of NDDS-based anticancer formulations. In xenograft models, human cancer cells are implanted into immunodeficient mice, enabling assessment of tumor suppression in a controlled environment. Syngeneic models, where tumors originate from mouse cell lines implanted into immunocompetent hosts, allow for simultaneous evaluation of immune responses. Orthotopic models involve placing tumor cells into the organ of origin, providing a more realistic simulation of metastasis and tumor microenvironment. Patient-derived xenografts (PDX), created by directly implanting patient tumor tissue into mice, offer the highest clinical relevance. Common evaluation endpoints include tumor volume reduction, histopathological changes, survival analysis, and imaging-based confirmation of targeted drug accumulation.

2. Cardiovascular Disease Models

NDDS aimed at cardiovascular therapy are designed to improve targeted drug delivery to the myocardium, vasculature, or ischemic zones while reducing systemic exposure. Myocardial infarction models, created by surgically occluding the left anterior descending (LAD) coronary artery in rodents or larger animals like pigs, replicate ischemic injury for testing cardioprotective formulations. Hypertension models, such as spontaneously hypertensive rats (SHR) or renal artery constriction-induced hypertension, allow evaluation of long-term blood pressure control by antihypertensive NDDS. Therapeutic success is measured by improved cardiac function via echocardiography, reduction in infarct size, stabilization of hemodynamic parameters, and attenuation of pathological remodeling.66-70

3. Neurological Disorder Models

Treating neurological diseases presents the formidable challenge of crossing the blood–brain barrier (BBB), making this an important focus in NDDS research. Alzheimer’s disease models, such as transgenic mice expressing human amyloid precursor protein, are used to assess NDDS designed for plaque reduction and cognitive improvement. Parkinson’s disease can be replicated in animals using neurotoxin-based approaches like 6-hydroxydopamine (6-OHDA) or MPTP, enabling evaluation of neuroprotective and dopaminergic therapies. Epilepsy models, including pentylenetetrazol (PTZ) and kainic acid-induced seizures, are used to test the anti-seizure potential of NDDS. Key measurements include drug penetration across the BBB, behavioral assessments, neurochemical profiling, and imaging-based mapping of drug distribution in brain tissues.71-74

4. Infectious Disease Models

Infectious disease models enable the testing of NDDS loaded with antimicrobial, antiviral, or antifungal agents under biologically relevant infection conditions. Bacterial infection models, such as methicillin-resistant Staphylococcus aureus (MRSA)-infected wounds or pneumonia models, help evaluate bacterial clearance and wound healing efficacy. Viral infection models, including influenza-infected ferrets or SARS-CoV-2-infected hamsters, allow for in vivo antiviral testing. Fungal infection models, such as systemic Candida albicans infections in mice, are used to determine antifungal potency. Assessment parameters often include microbial load reduction, immune response markers, histological examination of infected tissues, and improvement in survival outcomes.

5. Metabolic Disorder Models

NDDS for metabolic disorders are designed to provide long-term, controlled delivery of drugs that regulate systemic metabolism. In diabetes research, streptozotocin (STZ)-induced Type 1 diabetes models and high-fat diet-induced Type 2 diabetes models are commonly used to test glucose-lowering NDDS. Obesity models, such as genetically modified ob/ob mice or diet-induced obesity in rodents, allow evaluation of anti-obesity agents. Success indicators include improved glycemic control, enhanced insulin sensitivity, reduction in body weight, normalization of lipid profiles, and favorable shifts in metabolic biomarkers.75-80

6. Inflammatory and Autoimmune Models

For inflammatory and autoimmune diseases, NDDS evaluation focuses on achieving localized drug delivery to inflamed tissues, reducing systemic drug burden, and minimizing immune-related toxicity. Arthritis models, such as collagen-induced arthritis in mice, provide a platform for testing anti-inflammatory formulations. Inflammatory bowel disease (IBD) models, induced by agents like dextran sulfate sodium (DSS) or trinitrobenzene sulfonic acid (TNBS), simulate chronic inflammation of the gut for evaluating colon-targeted NDDS. Outcomes are measured through macroscopic and microscopic inflammation scoring, cytokine level quantification, and histopathological analysis of tissue healing.

Table 4: Common Disease Models Used for Pharmacological Evaluation of NDDS

Diseases

Model Type

Purpose

Endpoints

Cancer

Xenograft, syngeneic, orthotopic, PDX

Tumor targeting and efficacy

Tumor regression, imaging

Cardiovascular

MI, hypertension models

Cardio-targeted NDDS assessment

Infarct size, cardiac function

Neurological

Alzheimer’s, Parkinson’s, epilepsy models

BBB penetration, neuroprotection

Behavioral, imaging

Infectious Diseases

MRSA, viral, fungal infection models

Anti-infective NDDS efficacy

Pathogen load, histology

Metabolic Disorders

Diabetes, obesity models

Controlled release and metabolic control

Glucose, insulin, weight

Inflammatory/ Autoimmune

Arthritis, IBD models

Targeted anti-inflammatory delivery

Cytokines, histology

CONCLUSION:

Novel Drug Delivery Systems have emerged as a cornerstone in the pursuit of more effective, safer, and patient-oriented therapeutic solutions. Through advancements in carrier design, targeting strategies, and pharmacological evaluation, NDDS offer the potential to revolutionize the treatment landscape across oncology, neurology, infectious diseases, cardiovascular disorders, and beyond. However, their full clinical potential can only be realized by addressing key barriers such as the inconsistency between preclinical and clinical results, manufacturing complexities, and concerns over long-term safety and biocompatibility. A multidisciplinary approach that combines advanced material science, biomedical engineering, pharmacology, and regulatory science is essential for overcoming these challenges. The integration of artificial intelligence, real-time diagnostic feedback, and personalized delivery strategies represents the future trajectory of the field. With continued innovation and rigorous evaluation, NDDS stand poised to bridge the gap between bench-side innovation and bedside application, offering more precise, reliable, and impactful therapeutic options for patients worldwide.

CONFLICT OF INTEREST: The authors declare that there is no conflict of interest.

AUTHOR CONTRIBUTIONS: All authors have contributed equally.

REFERENCES

  1. Allen TM, Cullis PR. Liposomal drug delivery systems: From concept to clinical applications. Adv Drug Deliv Rev. 2013;65(1):36-48. doi:10.1016/j.addr.2012.09.037
  2. Torchilin VP. Multifunctional nanocarriers. Adv Drug Deliv Rev. 2012;64:302-15. doi:10.1016/j.addr.2012.09.031
  3. Immordino ML, Dosio F, Cattel L. Stealth liposomes: Review of the basic science, rationale, and clinical applications, existing and potential. Int J Nanomedicine. 2006;1(3):297-315.
  4. Alexis F, Pridgen E, Molnar LK, Farokhzad OC. Factors affecting the clearance and biodistribution of polymeric nanoparticles. Mol Pharm. 2008;5(4):505-15. doi:10.1021/mp800051m
  5. Maeda H, Wu J, Sawa T, Matsumura Y, Hori K. Tumor vascular permeability and the EPR effect in macromolecular therapeutics: A review. J Control Release. 2000;65(1-2):271-84. doi:10.1016/S0168-3659(99)00248-5
  6. Workman P, Aboagye EO, Balkwill F, Balmain A, Bruder G, Chaplin DJ, et al. Guidelines for the welfare and use of animals in cancer research. Br J Cancer. 2010;102(11):1555-77. doi:10.1038/sj.bjc.6605642
  7. Hidalgo M, Amant F, Biankin AV, Budinská E, Byrne AT, Caldas C, et al. Patient-derived xenograft models: An emerging platform for translational cancer research. Cancer Discov. 2014;4(9):998-1013. doi:10.1158/2159-8290.CD-14-0001
  8. Lindsey ML, Bolli R, Canty JM Jr, Du XJ, Frangogiannis NG, Frantz S, et al. Guidelines for experimental models of myocardial ischemia and infarction. Am J Physiol Heart Circ Physiol. 2018;314(4):H812-38. doi:10.1152/ajpheart.00335.2017
  9. Doggrell SA, Brown L. Rat models of hypertension, cardiac hypertrophy and failure. Cardiovasc Res. 1998;39(1):89-105. doi:10.1016/S0008-6363(98)00076-5
  10. Abbott NJ, Patabendige AA, Dolman DE, Yusof SR, Begley DJ. Structure and function of the blood–brain barrier. Neurobiol Dis. 2010;37(1):13-25. doi:10.1016/j.nbd.2009.07.030
  11. Sastry SV, Nyshadham JR, Fix JA. Recent technological advances in oral drug delivery a review. Pharm Sci Technolo Today. 2000;3(4):138-45. doi:10.1016/S1461-5347(00)00247-9
  12. Paxinos G, Watson C. The Rat Brain in Stereotaxic Coordinates. 7th ed. London: Academic Press; 2014.
  13. Beghi E. The epidemiology of epilepsy. Neuroepidemiology. 2020;54(2):185-91. doi:10.1159/000503831
  14. Peters BM, Shirtliff ME, Jabra-Rizk MA. Antimicrobial peptides: Primeval molecules or future drugs? PLoS Pathog. 2010;6(10):e1001067. doi:10.1371/journal.ppat.1001067
  15. Park K. Controlled drug delivery systems: Past forward and future back. J Control Release. 2014;190:3-8. doi:10.1016/j.jconrel.2014.03.054
  16. American Diabetes Association. Classification and diagnosis of diabetes: Standards of medical care in diabetes—2022. Diabetes Care. 2022;45(Suppl 1):S17-38. doi:10.2337/dc22-S002
  17. Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444(7121):860-7. doi:10.1038/nature05485
  18. Firestein GS. Evolving concepts of rheumatoid arthritis. Nature. 2003;423(6937):356-61. doi:10.1038/nature01661
  19. Neurath MF. Current and emerging therapeutic targets for IBD. Nat Rev Gastroenterol Hepatol. 2017;14(5):269-78. doi:10.1038/nrgastro.2016.208
  20. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). ICH S7A: Safety Pharmacology Studies for Human Pharmaceuticals. Geneva: ICH; 2000.
  21. U.S. Food and Drug Administration. Guidance for Industry: Content and Format of Investigational New Drug Applications (INDs) for Phase 1 Studies. Silver Spring, MD: FDA; 2010.
  22. OECD. OECD Principles of Good Laboratory Practice. Paris: OECD Publishing; 1998.
  23. Kalepu S, Nekkanti V. Insoluble drug delivery strategies: Review of recent advances and business prospects. Acta Pharm Sin B. 2015;5(5):442-53. doi:10.1016/j.apsb.2015.07.003
  24. Chen H, Zhang W, Zhu G, Xie J, Chen X. Rethinking cancer nanotheranostics. Nat Rev Mater. 2017;2(7):17024. doi:10.1038/natrevmats.2017.24
  25. Mak KK, Pichika MR. Artificial intelligence in drug development: Present status and future prospects. Drug Discov Today. 2019;24(3):773-80. doi:10.1016/j.drudis.2018.11.014
  26. Wang AZ, Langer R, Farokhzad OC. Nanoparticle delivery of cancer drugs. Annu Rev Med. 2012;63:185-98. doi:10.1146/annurev-med-040210-162544
  27. Bregoli L, Chiarini F, Gambarelli A, Montalti M, Ramírez-Crespo J, Bertucci A, et al. Nanomedicine applied to translational oncology: A future perspective on cancer treatment. Nanomedicine. 2016;12(1):81-103. doi:10.1016/j.nano.2015.09.009
  28. Van Norman GA. Drugs, devices, and the FDA: Part 1. An overview of approval processes for drugs. JACC Basic Transl Sci. 2016;1(3):170-9. doi:10.1016/j.jacbts.2016.03.002
  29. Sun D, Gao W, Hu H, Zhou S. Why nanomedicine is not yet a reality and what we can do. Nano Today. 2020;35:100946. doi:10.1016/j.nantod.2020.100946
  30. Mitragotri S, Burke PA, Langer R. Overcoming the challenges in administering biopharmaceuticals: Formulation and delivery strategies. Nat Rev Drug Discov. 2014;13(9):655-72. doi:10.1038/nrd4363
  31. 5. Muller-Goymann CC. Physicochemical characterization of colloidal drug delivery systems such as reverse micelles, vesicles, liquid crystals and nanoparticles for topical administration. European Journal of Pharmaceutics and Biopharmaceutics 2004; 58: 343-56.
  32. Haag R. Supramolecular Drug-Delivery Systems based on Polymeric Core-Shell Architectures. Angew. Chem. Int. Ed, 2004; 43: 278-82.
  33. Bae Y, Fukushima S, Harada A and Kataoka K, Design of Environment-Sensitive Supramolecular Assemblies for Intracellular Drug Delivery. Polymeric Micelles that are Responsive to Intracellular pH Change. Angew. Chem. Int. Ed. 2003; 4640: 42-43.
  34. Soppimath KS, Aminabhavi TM, Kulkarni AR, Rudzinski WE. Biodegradable polymeric nanoparticles as drug delivery devices. Journal of Controlled Release, 2001; 70: 1-20.
  35. Packhaeuser CB, Schnieders J, Oster CG, Kissel T. In situ forming parenteral drug delivery systems: an overview. European Journal of Pharmaceutics and Biopharmaceutics 2004; 58: 445-55.
  36. Agnihotri SA, Mallikarjuna NN, Aminabhavi TM. Recent advances on chitosan-based micro and nanoparticles in drug delivery. Journal of Controlled Release 2004; 100: 5-28.
  37. Sood A and Panchagnula R. Peroral Route: An Opportunity for Protein and Peptide Drug Delivery. Chemical Reviews 2000; 101: 3275-303.
  38. Niculescu-Duvaz I, Springer CJ. Antibody-directed enzyme prodrug therapy (ADEPT): a review. Advanced Drug Delivery Reviews 1997; 26: 151-72.
  39. Patra JK, Das G, Fraceto LF, Campos EVR, Rodriguez-Torres MDP, Acosta-Torres LS, et al. Nano based drug delivery systems: Recent developments and future prospects. J Nanobiotechnology. 2018;16(1):71. doi:10.1186/s12951-018-0392-8
  40. Barua S, Mitragotri S. Challenges associated with penetration of nanoparticles across cell and tissue barriers: A review of current status and future prospects. Nano Today. 2014;9(2):223-43. doi:10.1016/j.nantod.2014.04.008
  41. Zhao CY, Cheng R, Yang Z, Tian ZM. Nanotechnology for cancer therapy based on chemotherapy. Molecules. 2018;23(4):826. doi:10.3390/molecules2304082
  42. Ventola CL. The nanomedicine revolution: Part 1—Emerging concepts. P T. 2012;37(9):512-25.
  43. Jain KK. Advances in the field of nanooncology. BMC Med. 2010;8:83. doi:10.1186/1741-7015-8-83
  44. He H, Liu L, Morin EE, Liu M, Schwendeman A. Survey of clinical translation of cancer nanomedicines—lessons learned from successes and failures. Acc Chem Res. 2019;52(9):2445-64. doi:10.1021/acs.accounts.9b0022
  45. Senapati S, Mahanta AK, Kumar S, Maiti P. Controlled drug delivery vehicles for cancer treatment and their performance. Signal Transduct Target Ther. 2018;3:7. doi:10.1038/s41392-017-0004-3
  46. Mitchell MJ, Billingsley MM, Haley RM, Wechsler ME, Peppas NA, Langer R. Engineering precision nanoparticles for drug delivery. Nat Rev Drug Discov. 2021;20(2):101-24. doi:10.1038/s41573-020-0090-8
  47. Farokhzad OC, Langer R. Impact of nanotechnology on drug delivery. ACS Nano. 2009;3(1):16-20. doi:10.1021/nn900002m
  48. Park K, Skidmore S, Hadar J, Garner J, Park H, Otte A, et al. Injectable, long-acting PLGA formulations: Analyzing PLGA and understanding microparticle formation. J Control Release. 2019;304:125-34. doi:10.1016/j.jconrel.2019.05.003
  49. European Medicines Agency (EMA). Guideline on quality, non-clinical and clinical requirements for investigational advanced therapy medicinal products. London: EMA; 2019.
  50. Bobo D, Robinson KJ, Islam J, Thurecht KJ, Corrie SR. Nanoparticle-based medicines: A review of FDA-approved materials and clinical trials to date. Pharm Res. 2016;33(10):2373-87. doi:10.1007/s11095-016-1958-5
  51. Gao H, Pang Z. Targeted delivery of nanoparticles for brain cancer therapy. Curr Pharm Des. 2013;19(37):6315-20. doi:10.2174/13816128113199990375
  52. Mura S, Nicolas J, Couvreur P. Stimuli-responsive nanocarriers for drug delivery. Nat Mater. 2013;12(11):991-1003. doi:10.1038/nmat3776
  53. Khadka P, Ro J, Kim H, Kim I, Kim JT, Kim H, et al. Pharmaceutical particle technologies: An approach to improve drug solubility, dissolution and bioavailability. Asian J Pharm Sci. 2014;9(6):304-16. doi:10.1016/j.ajps.2014.05.005
  54. Tran S, DeGiovanni PJ, Piel B, Rai P. Cancer nanomedicine: A review of recent success in drug delivery. Clin Transl Med. 2017;6(1):44. doi:10.1186/s40169-017-0175-0
  55. Tiwari G, Tiwari R, Bannerjee S, Bhati L, Pandey S, Pandey P, et al. Drug delivery systems: An updated review. Int J Pharm Investig. 2012;2(1):2-11. doi:10.4103/2230-973X.96920
  56. Anselmo AC, Mitragotri S. Nanoparticles in the clinic. Bioeng Transl Med. 2016;1(1):10-29. doi:10.1002/btm2.10003
  57. FDA. Guidance for Industry: Liposome Drug Products—Chemistry, Manufacturing, and Controls; Human Pharmacokinetics and Bioavailability; and Labeling Documentation. Silver Spring, MD: FDA; 2018.
  58. Duncan R, Gaspar R. Nanomedicine(s) under the microscope. Mol Pharm. 2011;8(6):2101-41. doi:10.1021/mp200394t.
  59. Purabisaha, Roshan Kumar, Shrestha Sarkar3 Nikita Rawat, and Amit Prakash. "A Review on Novel Drug Delivery System." (2021).
  60. Banda wane, Akash, and Ravindranath Saud agar. "A review on novel drug delivery system: a recent trend." Journal of Drug Delivery and Therapeutics 9.3 (2019): 517-521.
  61. Saraf, S. "Applications of novel drug delivery system for herbal formulations." Fitoterapia 81.7 (2010): 680-689.
  62. Ezike, Tobechukwu Christian, et al. "Advances in drug delivery systems, challenges and future directions." Helion 9.6 (2023).
  63. Dhiman, Jasmine. "Novel Drug Delivery System: Brief Review." Journal of Drug Delivery and Therapeutics 13.11 (2023): 188-196.
  64. Sarangi, Manoj Kumar, and Sasmita Padhi. "Novel herbal drug delivery system: An overview." Archives of Medicine and Health Sciences 6.1 (2018): 171-179.
  65. Singh, Aditya Narayan, Bedouin Mahanti, and Khokan Bera. "Novel drug delivery system & it's future: an overview." International Journal of Pharmacy and Engineering 9.2 (2021): 1070-1088.
  66. Khillare, Samta, et al. "NOVEL DRUG DELIVERY SYSTEM: A REVIEW ARTICLE." (2023).
  67. Prabhakar, D., J. Sreekanth, and K. N. Jayaweera. "Transdermal drug delivery patches: a review." Journal of Drug Delivery and Therapeutics 3.4 (2013): 231-221.
  68. Patel, Harshil M., and Chainesh N. Shah. "A review on orodispersible tablets as a novel formulation for oral drug delivery systems." Pharma Science Monitor 7.3 (2016): 100-111.
  69. Ahsan, Anam, et al. "An overview of hydrogels and their role in transdermal drug delivery." International Journal of Polymeric Materials and Polymeric Biomaterials 70.8 (2021): 574-584.
  70. Huang, Li, et al. "Novel nano-drug delivery system for natural products and their application." Pharmacological Research (2024): 107100.
  71. Manjanna, K. M., B. Shivakumar, and TM Pramod Kumar. "Microencapsulation: an acclaimed novel drug-delivery system for NSAIDs in arthritis." Critical Reviews™ in Therapeutic Drug Carrier Systems 27.6 (2010).
  72. Oladipo, Iyabo Christianah, and Victoria Atinuke Ajayi. "Relevance of nanotechnology in drug delivery: an overview." World Journal of Pharmacy and Pharmaceutical Sciences 9.12 (2020): 92-120.
  73. Kamaly, Nazila, et al. "Degradable controlled-release polymers and polymeric nanoparticles: mechanisms of controlling drug release." Chemical Reviews 116.4 (2016): 2602-2663.
  74. Pagar, Kanchan R., and Sarika V. Khandbahale. "A review on novel drug delivery system: a recent trend." Asian Journal of Pharmacy and Technology 9.2 (2019): 135-140.
  75. Minocha, Neha, and Virender Kumar. "Nanostructure system: Liposome–A bioactive carrier in drug delivery systems." Materials Today: Proceedings 69 (2022): 614-619.
  76. Garg, Tarun, and Amit K Goyal. "Liposomes: targeted and controlled delivery system." Drug delivery letters 4.1 (2014): 62-71.
  77. Vikas, Kumar, et al. "Recent advances in ndds (novel drug delivery system) for delivery of anti-hypertensive drugs." Int J Drug Dev Res 3.1 (2011): 252-9.
  78. Umeyor, Chukwuebuka Emmanuel, et al. "Recent advances in particulate anti-malarial drug delivery systems: a review." International Journal of Drug Delivery 5.1 (2013): 01.
  79. Uppal, Siddharth, et al. "Nanoparticulate-based drug delivery systems for small molecule anti-diabetic drugs: An emerging paradigm for effective therapy." Acta Biomaterial 81 (2018): 20-42.
  80. Castro, Emilio, and Arun Kumar. "Nanoparticles in drug delivery systems." Nanomedicine I drug delivery 1 (2013): 1-22.

Reference

  1. Allen TM, Cullis PR. Liposomal drug delivery systems: From concept to clinical applications. Adv Drug Deliv Rev. 2013;65(1):36-48. doi:10.1016/j.addr.2012.09.037
  2. Torchilin VP. Multifunctional nanocarriers. Adv Drug Deliv Rev. 2012;64:302-15. doi:10.1016/j.addr.2012.09.031
  3. Immordino ML, Dosio F, Cattel L. Stealth liposomes: Review of the basic science, rationale, and clinical applications, existing and potential. Int J Nanomedicine. 2006;1(3):297-315.
  4. Alexis F, Pridgen E, Molnar LK, Farokhzad OC. Factors affecting the clearance and biodistribution of polymeric nanoparticles. Mol Pharm. 2008;5(4):505-15. doi:10.1021/mp800051m
  5. Maeda H, Wu J, Sawa T, Matsumura Y, Hori K. Tumor vascular permeability and the EPR effect in macromolecular therapeutics: A review. J Control Release. 2000;65(1-2):271-84. doi:10.1016/S0168-3659(99)00248-5
  6. Workman P, Aboagye EO, Balkwill F, Balmain A, Bruder G, Chaplin DJ, et al. Guidelines for the welfare and use of animals in cancer research. Br J Cancer. 2010;102(11):1555-77. doi:10.1038/sj.bjc.6605642
  7. Hidalgo M, Amant F, Biankin AV, Budinská E, Byrne AT, Caldas C, et al. Patient-derived xenograft models: An emerging platform for translational cancer research. Cancer Discov. 2014;4(9):998-1013. doi:10.1158/2159-8290.CD-14-0001
  8. Lindsey ML, Bolli R, Canty JM Jr, Du XJ, Frangogiannis NG, Frantz S, et al. Guidelines for experimental models of myocardial ischemia and infarction. Am J Physiol Heart Circ Physiol. 2018;314(4):H812-38. doi:10.1152/ajpheart.00335.2017
  9. Doggrell SA, Brown L. Rat models of hypertension, cardiac hypertrophy and failure. Cardiovasc Res. 1998;39(1):89-105. doi:10.1016/S0008-6363(98)00076-5
  10. Abbott NJ, Patabendige AA, Dolman DE, Yusof SR, Begley DJ. Structure and function of the blood–brain barrier. Neurobiol Dis. 2010;37(1):13-25. doi:10.1016/j.nbd.2009.07.030
  11. Sastry SV, Nyshadham JR, Fix JA. Recent technological advances in oral drug delivery a review. Pharm Sci Technolo Today. 2000;3(4):138-45. doi:10.1016/S1461-5347(00)00247-9
  12. Paxinos G, Watson C. The Rat Brain in Stereotaxic Coordinates. 7th ed. London: Academic Press; 2014.
  13. Beghi E. The epidemiology of epilepsy. Neuroepidemiology. 2020;54(2):185-91. doi:10.1159/000503831
  14. Peters BM, Shirtliff ME, Jabra-Rizk MA. Antimicrobial peptides: Primeval molecules or future drugs? PLoS Pathog. 2010;6(10):e1001067. doi:10.1371/journal.ppat.1001067
  15. Park K. Controlled drug delivery systems: Past forward and future back. J Control Release. 2014;190:3-8. doi:10.1016/j.jconrel.2014.03.054
  16. American Diabetes Association. Classification and diagnosis of diabetes: Standards of medical care in diabetes—2022. Diabetes Care. 2022;45(Suppl 1):S17-38. doi:10.2337/dc22-S002
  17. Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444(7121):860-7. doi:10.1038/nature05485
  18. Firestein GS. Evolving concepts of rheumatoid arthritis. Nature. 2003;423(6937):356-61. doi:10.1038/nature01661
  19. Neurath MF. Current and emerging therapeutic targets for IBD. Nat Rev Gastroenterol Hepatol. 2017;14(5):269-78. doi:10.1038/nrgastro.2016.208
  20. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). ICH S7A: Safety Pharmacology Studies for Human Pharmaceuticals. Geneva: ICH; 2000.
  21. U.S. Food and Drug Administration. Guidance for Industry: Content and Format of Investigational New Drug Applications (INDs) for Phase 1 Studies. Silver Spring, MD: FDA; 2010.
  22. OECD. OECD Principles of Good Laboratory Practice. Paris: OECD Publishing; 1998.
  23. Kalepu S, Nekkanti V. Insoluble drug delivery strategies: Review of recent advances and business prospects. Acta Pharm Sin B. 2015;5(5):442-53. doi:10.1016/j.apsb.2015.07.003
  24. Chen H, Zhang W, Zhu G, Xie J, Chen X. Rethinking cancer nanotheranostics. Nat Rev Mater. 2017;2(7):17024. doi:10.1038/natrevmats.2017.24
  25. Mak KK, Pichika MR. Artificial intelligence in drug development: Present status and future prospects. Drug Discov Today. 2019;24(3):773-80. doi:10.1016/j.drudis.2018.11.014
  26. Wang AZ, Langer R, Farokhzad OC. Nanoparticle delivery of cancer drugs. Annu Rev Med. 2012;63:185-98. doi:10.1146/annurev-med-040210-162544
  27. Bregoli L, Chiarini F, Gambarelli A, Montalti M, Ramírez-Crespo J, Bertucci A, et al. Nanomedicine applied to translational oncology: A future perspective on cancer treatment. Nanomedicine. 2016;12(1):81-103. doi:10.1016/j.nano.2015.09.009
  28. Van Norman GA. Drugs, devices, and the FDA: Part 1. An overview of approval processes for drugs. JACC Basic Transl Sci. 2016;1(3):170-9. doi:10.1016/j.jacbts.2016.03.002
  29. Sun D, Gao W, Hu H, Zhou S. Why nanomedicine is not yet a reality and what we can do. Nano Today. 2020;35:100946. doi:10.1016/j.nantod.2020.100946
  30. Mitragotri S, Burke PA, Langer R. Overcoming the challenges in administering biopharmaceuticals: Formulation and delivery strategies. Nat Rev Drug Discov. 2014;13(9):655-72. doi:10.1038/nrd4363
  31. 5. Muller-Goymann CC. Physicochemical characterization of colloidal drug delivery systems such as reverse micelles, vesicles, liquid crystals and nanoparticles for topical administration. European Journal of Pharmaceutics and Biopharmaceutics 2004; 58: 343-56.
  32. Haag R. Supramolecular Drug-Delivery Systems based on Polymeric Core-Shell Architectures. Angew. Chem. Int. Ed, 2004; 43: 278-82.
  33. Bae Y, Fukushima S, Harada A and Kataoka K, Design of Environment-Sensitive Supramolecular Assemblies for Intracellular Drug Delivery. Polymeric Micelles that are Responsive to Intracellular pH Change. Angew. Chem. Int. Ed. 2003; 4640: 42-43.
  34. Soppimath KS, Aminabhavi TM, Kulkarni AR, Rudzinski WE. Biodegradable polymeric nanoparticles as drug delivery devices. Journal of Controlled Release, 2001; 70: 1-20.
  35. Packhaeuser CB, Schnieders J, Oster CG, Kissel T. In situ forming parenteral drug delivery systems: an overview. European Journal of Pharmaceutics and Biopharmaceutics 2004; 58: 445-55.
  36. Agnihotri SA, Mallikarjuna NN, Aminabhavi TM. Recent advances on chitosan-based micro and nanoparticles in drug delivery. Journal of Controlled Release 2004; 100: 5-28.
  37. Sood A and Panchagnula R. Peroral Route: An Opportunity for Protein and Peptide Drug Delivery. Chemical Reviews 2000; 101: 3275-303.
  38. Niculescu-Duvaz I, Springer CJ. Antibody-directed enzyme prodrug therapy (ADEPT): a review. Advanced Drug Delivery Reviews 1997; 26: 151-72.
  39. Patra JK, Das G, Fraceto LF, Campos EVR, Rodriguez-Torres MDP, Acosta-Torres LS, et al. Nano based drug delivery systems: Recent developments and future prospects. J Nanobiotechnology. 2018;16(1):71. doi:10.1186/s12951-018-0392-8
  40. Barua S, Mitragotri S. Challenges associated with penetration of nanoparticles across cell and tissue barriers: A review of current status and future prospects. Nano Today. 2014;9(2):223-43. doi:10.1016/j.nantod.2014.04.008
  41. Zhao CY, Cheng R, Yang Z, Tian ZM. Nanotechnology for cancer therapy based on chemotherapy. Molecules. 2018;23(4):826. doi:10.3390/molecules2304082
  42. Ventola CL. The nanomedicine revolution: Part 1—Emerging concepts. P T. 2012;37(9):512-25.
  43. Jain KK. Advances in the field of nanooncology. BMC Med. 2010;8:83. doi:10.1186/1741-7015-8-83
  44. He H, Liu L, Morin EE, Liu M, Schwendeman A. Survey of clinical translation of cancer nanomedicines—lessons learned from successes and failures. Acc Chem Res. 2019;52(9):2445-64. doi:10.1021/acs.accounts.9b0022
  45. Senapati S, Mahanta AK, Kumar S, Maiti P. Controlled drug delivery vehicles for cancer treatment and their performance. Signal Transduct Target Ther. 2018;3:7. doi:10.1038/s41392-017-0004-3
  46. Mitchell MJ, Billingsley MM, Haley RM, Wechsler ME, Peppas NA, Langer R. Engineering precision nanoparticles for drug delivery. Nat Rev Drug Discov. 2021;20(2):101-24. doi:10.1038/s41573-020-0090-8
  47. Farokhzad OC, Langer R. Impact of nanotechnology on drug delivery. ACS Nano. 2009;3(1):16-20. doi:10.1021/nn900002m
  48. Park K, Skidmore S, Hadar J, Garner J, Park H, Otte A, et al. Injectable, long-acting PLGA formulations: Analyzing PLGA and understanding microparticle formation. J Control Release. 2019;304:125-34. doi:10.1016/j.jconrel.2019.05.003
  49. European Medicines Agency (EMA). Guideline on quality, non-clinical and clinical requirements for investigational advanced therapy medicinal products. London: EMA; 2019.
  50. Bobo D, Robinson KJ, Islam J, Thurecht KJ, Corrie SR. Nanoparticle-based medicines: A review of FDA-approved materials and clinical trials to date. Pharm Res. 2016;33(10):2373-87. doi:10.1007/s11095-016-1958-5
  51. Gao H, Pang Z. Targeted delivery of nanoparticles for brain cancer therapy. Curr Pharm Des. 2013;19(37):6315-20. doi:10.2174/13816128113199990375
  52. Mura S, Nicolas J, Couvreur P. Stimuli-responsive nanocarriers for drug delivery. Nat Mater. 2013;12(11):991-1003. doi:10.1038/nmat3776
  53. Khadka P, Ro J, Kim H, Kim I, Kim JT, Kim H, et al. Pharmaceutical particle technologies: An approach to improve drug solubility, dissolution and bioavailability. Asian J Pharm Sci. 2014;9(6):304-16. doi:10.1016/j.ajps.2014.05.005
  54. Tran S, DeGiovanni PJ, Piel B, Rai P. Cancer nanomedicine: A review of recent success in drug delivery. Clin Transl Med. 2017;6(1):44. doi:10.1186/s40169-017-0175-0
  55. Tiwari G, Tiwari R, Bannerjee S, Bhati L, Pandey S, Pandey P, et al. Drug delivery systems: An updated review. Int J Pharm Investig. 2012;2(1):2-11. doi:10.4103/2230-973X.96920
  56. Anselmo AC, Mitragotri S. Nanoparticles in the clinic. Bioeng Transl Med. 2016;1(1):10-29. doi:10.1002/btm2.10003
  57. FDA. Guidance for Industry: Liposome Drug Products—Chemistry, Manufacturing, and Controls; Human Pharmacokinetics and Bioavailability; and Labeling Documentation. Silver Spring, MD: FDA; 2018.
  58. Duncan R, Gaspar R. Nanomedicine(s) under the microscope. Mol Pharm. 2011;8(6):2101-41. doi:10.1021/mp200394t.
  59. Purabisaha, Roshan Kumar, Shrestha Sarkar3 Nikita Rawat, and Amit Prakash. "A Review on Novel Drug Delivery System." (2021).
  60. Banda wane, Akash, and Ravindranath Saud agar. "A review on novel drug delivery system: a recent trend." Journal of Drug Delivery and Therapeutics 9.3 (2019): 517-521.
  61. Saraf, S. "Applications of novel drug delivery system for herbal formulations." Fitoterapia 81.7 (2010): 680-689.
  62. Ezike, Tobechukwu Christian, et al. "Advances in drug delivery systems, challenges and future directions." Helion 9.6 (2023).
  63. Dhiman, Jasmine. "Novel Drug Delivery System: Brief Review." Journal of Drug Delivery and Therapeutics 13.11 (2023): 188-196.
  64. Sarangi, Manoj Kumar, and Sasmita Padhi. "Novel herbal drug delivery system: An overview." Archives of Medicine and Health Sciences 6.1 (2018): 171-179.
  65. Singh, Aditya Narayan, Bedouin Mahanti, and Khokan Bera. "Novel drug delivery system & it's future: an overview." International Journal of Pharmacy and Engineering 9.2 (2021): 1070-1088.
  66. Khillare, Samta, et al. "NOVEL DRUG DELIVERY SYSTEM: A REVIEW ARTICLE." (2023).
  67. Prabhakar, D., J. Sreekanth, and K. N. Jayaweera. "Transdermal drug delivery patches: a review." Journal of Drug Delivery and Therapeutics 3.4 (2013): 231-221.
  68. Patel, Harshil M., and Chainesh N. Shah. "A review on orodispersible tablets as a novel formulation for oral drug delivery systems." Pharma Science Monitor 7.3 (2016): 100-111.
  69. Ahsan, Anam, et al. "An overview of hydrogels and their role in transdermal drug delivery." International Journal of Polymeric Materials and Polymeric Biomaterials 70.8 (2021): 574-584.
  70. Huang, Li, et al. "Novel nano-drug delivery system for natural products and their application." Pharmacological Research (2024): 107100.
  71. Manjanna, K. M., B. Shivakumar, and TM Pramod Kumar. "Microencapsulation: an acclaimed novel drug-delivery system for NSAIDs in arthritis." Critical Reviews™ in Therapeutic Drug Carrier Systems 27.6 (2010).
  72. Oladipo, Iyabo Christianah, and Victoria Atinuke Ajayi. "Relevance of nanotechnology in drug delivery: an overview." World Journal of Pharmacy and Pharmaceutical Sciences 9.12 (2020): 92-120.
  73. Kamaly, Nazila, et al. "Degradable controlled-release polymers and polymeric nanoparticles: mechanisms of controlling drug release." Chemical Reviews 116.4 (2016): 2602-2663.
  74. Pagar, Kanchan R., and Sarika V. Khandbahale. "A review on novel drug delivery system: a recent trend." Asian Journal of Pharmacy and Technology 9.2 (2019): 135-140.
  75. Minocha, Neha, and Virender Kumar. "Nanostructure system: Liposome–A bioactive carrier in drug delivery systems." Materials Today: Proceedings 69 (2022): 614-619.
  76. Garg, Tarun, and Amit K Goyal. "Liposomes: targeted and controlled delivery system." Drug delivery letters 4.1 (2014): 62-71.
  77. Vikas, Kumar, et al. "Recent advances in ndds (novel drug delivery system) for delivery of anti-hypertensive drugs." Int J Drug Dev Res 3.1 (2011): 252-9.
  78. Umeyor, Chukwuebuka Emmanuel, et al. "Recent advances in particulate anti-malarial drug delivery systems: a review." International Journal of Drug Delivery 5.1 (2013): 01.
  79. Uppal, Siddharth, et al. "Nanoparticulate-based drug delivery systems for small molecule anti-diabetic drugs: An emerging paradigm for effective therapy." Acta Biomaterial 81 (2018): 20-42.
  80. Castro, Emilio, and Arun Kumar. "Nanoparticles in drug delivery systems." Nanomedicine I drug delivery 1 (2013): 1-22.

Photo
Vidya Dange
Corresponding author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Photo
Swapnaja Kadam
Co-author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Photo
Bhagyashree Dane
Co-author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Photo
Manasvi Jarag
Co-author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Photo
Yash Patil
Co-author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Photo
Dr. S. K. Mohite
Co-author

Rajarambapu College of Pharmacy, Kasegaon, Walwa, Sangli, Maharashtra, India 415404

Yash Patil, Swapnaja Kadam, Bhagyashree Dane, Manasvi Jarag, Vidya Dange, Dr. S. K. Mohite, Recent Advances in Pharmacological Evaluation of Novel Drug Delivery Systems, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 8, 2219-2232. https://doi.org/10.5281/zenodo.16918800

More related articles
Therapeutic Insights into the Antidiabetic Activit...
Manali Chaudhari , Jagruti Patil, ...
Revolutionizing Skincare: The Role of Nano Particl...
Durgesh Singh, Harsh Lad, Ankit Rohit, Ujjwal Sharma, Hinal Patel...