Faculty of Pure and Applied Science

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(2025), Volume 11, Issue 1 Niyi et al. 22 https://ejournals.epublishing.ekt.gr/index.php/HealthResJ RESEARCH ARTICLE EFFECTS OF SALBUTAMOL ADMINISTRATION ON THE MORPHOLOGY AND CYTOAR- CHITECTURE OF THE CEREBELLUM AND HIPPOCAMPUS OF ADULT WISTAR RATS
(Health and Research Journal, 2025-01) Popoola AbdulGafar Niyi; Ibrahim Munirudeen; Ibiyeye Ruqayyah Yetunde; Faniyi Ayodeji Amos; Balogun Musbau Olusesan; Busari Akeem Olayinka; Garba Wasiu Olanrewaju; Ogunwale Kolawole Ayobami; Lawal Abubakar Zubair; Suleiman Ibrahim Eleha; Adunmo Godwin Olawoyin; Nuhu Abdulrazak
Abstract Background: Salbutamol is the most preferred and widely used drug for treating bronchial asthma and bronchospasm. Its abuse has however been reported amongst users. Most of the side effects reports on salbutamol are clinical based such as headache, tremor, weakness etc. This study, therefore, investigated the sub-acute effect of oral salbutamol on the general morphology of the cerebellum and hippocampus of adult Wistar rats. Method and Material: Twenty adult Male Wistar rats (125 – 224g) were divided into four groups of five rats each. The control (distilled water); the 20mg/kg salbutamol, the 30mg/kg salbutamol, and the 40mg/kg salbutamol groups. Drugs were administered orally for 21 days. The body weight of each animal was monitored throughout the experiment. On day 22, animals were euthanized, brains excised, fixed in 10% buffered formal-saline, cerebelli and hippocampi were identified and processed with Haematoxylin and Eosin staining techniques. Data were analysed by ANOVA at p≤0.05 level of significance using SPSS and results presented as mean ± SEM Results: Results showed that the animals that received 30mg/kg and 40mg/kg salbutamol had significant weight loss. The cerebellum of the 40mg/kg group showed eroded granule cell layer. Hippocampus also revealed pyknotic cells in the pyramidal cell layers at 30mg/kg and 40mg/kg. Conclusions: This study showed that salbutamol at relatively higher doses caused significant weight loss; degeneration of cerebellum granule cells, which might affect motor coordination; and pyknosis of hippocampal pyramidal cells which may affect learning and memory. Keywords: Salbutamol, weight loss, brain, degeneration.
A Beacon for Dark Times Rethinking Scientific Evidence for Environmental and Public Health Action in the Coronavirus Diseases 2019 Era
(MAR Microbiology, 2020-11-01) Raimi Morufu Olalekan*, Moses Tuebi1, Okoyen Ebikapaye2, Sawyerr Henry Olawale3, Joseph Beatrice Oka4, Oyinlola Bilewu Olaolu5
As the COVID-19 pandemic emergence progresses and overwhelming healthcare systems, countries are reviewing their policies to protect those at increased risk of severe disease. These can be policies aimed at suppressing transmission in the wider population, vaccination (if vaccine becomes available) as the world anxiously awaits an effective COVID-19 vaccine that can be readily distributed. Until then, the priority is to reenergize countries to act rather than react. Even as the uncertainties of the COVID-19 crisis multiply, the aim must be to rebuild for the long-term protection i.e., explicit measures to protect people at increased risk by reducing interactions amongst people in danger, etc. The spread of the SARS-CoV-2 pandemic has forced us to realize the fact that progress towards Sustainable Development Goals is threatened and fragile, as the numbers of people heading into poverty are now at increased risk of setbacks. It also stresses the need to strengthen the relationship between scientific evidence to protect the environment and public health. This requires an understanding of the importance of the interventions to address structural inequity, global health care and coverage, and comprehensive social protection schemes as part of the response. It is time to recognize that not all of us are at equal risk of severe outcomes from COVID-19 and to work with stakeholders to formulate an effective response. This study presents evidence from studies informing policymakers about the number of individuals that might be at increased risk or high risk of severe COVID-19 in different nations. Therefore, there is a need to develop scientific evidence for rapid assessments of environmental and public health action in the era of coronavirus diseases, which should focus on different policies guidelines to prevent those at increased risk. Estimating the number of people at high risk of severe COVID-19 is important to help countries to design more effective interventions to protect vulnerable individuals and reduce strain on health systems. This information can provide and inform a comprehensive assessment of the health, social, and economic consequences of shielding different groups, suggesting the need to develop a longer-term Covid-19 management strategy
A cocrystallised Cobalt(II) Cluster of Pyridinedicarboxylic Acid (PDC) as a Luminescent Material for Selective Sensing of Methanol
(2021)
A Comparative Analysis of Semiparametric Tests for Fractional Cointegration in Panel Data Models
(Austria Statistical Society, 2022) Saidat Fehintola Olaniran; Mohd Tahir Ismail
Several authors have studied fractional cointegration in time series data, but little or no consideration has been extended to panel data settings. Therefore, in this paper, we compare the finite sample behaviour of existing fractional cointegration time-series test procedures in panel data settings. This comparison is performed to determine the best tests that can be adapted to fractional cointegration in panel data settings. Specifically, simulation studies and real-life data analysis were performed to study the changes in the empirical type I error rate and power of six semiparametric fractional cointegration tests in panel settings. The various results revealed the limitations of the tests in the nonstationary and low or high correlation of the residual errors conditions. Also, two of the test procedures were recommended for testing the null hypothesis of no fractional cointegration in both time series and panel data settings.
A comparative study of Plasma Vitamin C levels in pre- eclamptic and normotensive pregnancies at the Lagos University Teaching Hospital
(2015) Odeigah CC; Odeigah L; Olagunju FA; Suleiman ZA; Issa YF; Adesina KT; Saidu R; Raji HA; Ayeni MO; Jimoh AAG
Background: Pre-eclampsia remains a major cause of maternal and perinatal morbidity and mortality in our environment. Research into methods of prevention of this disorder has been hampered by a poor understanding of the pathological mechanisms leading to pre-eclampsia. Recent studies suggest that oxidative stress (with reduced antioxidant defences) could lead to free radical mediated endothelial dysfunction in pre-eclampsia. Objectives: To determine the plasma vitamin C levels in pre-eclamptic and normotensive pregnant patients at LUTH, and to compare the levels of plasma vitamin C in both groups of patients with a view to investigate the association between plasma vitamin C level and preeclampsia. Method: A comparative study of plasma vitamin C levels in pre-eclamptic and normotensive pregnancies. Informed consent was obtained from 90 women admitted to the labour ward with singleton pregnancies between 28 and 40 weeks, who were divided into two groups: 30 preeclamptic patients and 60 normotensive patients (each pre-eclamptic patient was matched for parity with 2 normotensive patients). Venous blood was obtained from all the participants. Plasma vitamin C level was measured using High Performance Liquid Chromatography (HPLC). Data was analyzed using inferential statistical methods. Results: The results showed that mean plasma vitamin C level in the pre-eclamptic women was 119.3 ± 23.7 μg/ml, while the mean plasma vitamin C level in the normotensive pregnant patients was 246.5 ± 45.0 μg/ml. The mean concentration of plasma vitamin C level was significantly lower in the pre-eclamptic patients than in the normotensive patients (t=14.5; p<0.001) Conclusion: The study showed that pre-eclampsia is associated with decreased concentration of plasma vitamin C. There is the need for a local study to investigate the effect of vitamin C supplementation on pre-eclampsia.
A Comparative Study on Zero-truncated Generalized Poisson-Lindley and Zero-truncated Poisson-Lindley Distributions
(International journal of Mathematical Archive (IJMA), 2017) Aderoju, S.A.; Jolayemi, E.T.; Ibrahim, A.O.
In this paper, Zero-truncated Com-binomial distribution was derived and investigated its behavior in modeling structurally non-zero data. The proposed distribution is characterized by two parameters, which make it flexible. The maximum likelihood method is used to obtain the estimators of the parameters through R-software. Two real-life datasets were used to evaluate its performance. The statistic (chi square goodness-of-fit) with the p-value shows that the proposed Zero-truncated Com-binomial distribution yields “a good fit”.
A DFT study of optoelectronic, elastic and thermo-electric properties of the double perovskites Rb2SeX6 (X Br,Cl)
(Journal of the Nigerian Society of Physical Sciences, 2023-04-29) Yahya, W. A.
Thermo-electric (TE) material applications reduce reliance on traditional energy resources by converting heat to electric energy. We have stud- ied, for the first time, the thermo-electric properties of Rb 2 SeX 6 (X Br,Cl). Using norm-conserving pseudo potentials in a plane wave basis set of Quantum Espresso code, the optoelectronic, elastic and thermo-electric properties of Rb 2 SeX 6 (X Br,Cl) have been investigated using den- sity functional theory. Generalized Gradient Approximation of Perdew Burke Ernzerhof (GGA-PBE) and Generalized Gradient Approximation of Perdew Burke Ernzerhof adapted for Solid (GGA-PBESol) exchange correlation functionals were employed in all calculations. The band structure plots suggest that the studied double perovskites have indirect band gaps. Rb 2 SeBr 6 band gap values of 1.7574/ 1.569 eV (using GGA- PBE/PBEsol) are remarkably similar to that of two effective inorganic/organic perovskites FAPbI 3 and MAPbI 3 . Maximum peaks generated from refractive index results indicate possible solar cell uses of the materials because they are in the visible and ultraviolet ranges. The results of other optical properties such as absorption coefficients, electron energy loss, conductivity, and reflectivity concludes that Rb 2 SeX 6 (X Br,Cl) have good values for electron generation, high potential for applications in the optoelectronic industry and are semiconductor in nature. The calculated shear anisotropy values of Rb 2 SeBr 6 /Cl 6 are 3.09/1.71, suggesting that they are isotropic materials. With calculated Poisson’s ratio of 0.32 and 0.26, the materials are predicted to be ductile in nature. The two materials are appropriate for thermo-electric applications since their thermal to electrical conductivity ratio are small (the order of 10 −5 ). The calculated minimum values of Seebeck coefficient values of 0.198 × 10 3 / 0.166 × 10 3 (m V/K) at 750 K, for Rb 2 SeBr 6 /Cl 6 are positive, indicating that they have p-type conduction. Figure of merit values at all temperature range considered are greater than one (ZT > 1) for both Rb 2 SeBr 6 and Rb 2 SeCl 6 , suggesting that they are good thermo-electric materials. The results of the calculations provide the basis for the industrial application of Rb 2 SeBr 6 /Cl 6 as solar cells.
A Follow-up Study on Lead Poisoning in Soil and Drinking Water Sources in Bagega Village in Zamfara State, Nigeria
(Faculty of Basic and Applied Sciences, Kebbi State University, Kebbi, Nigera, 2024-12-31) Salami, Olalekan Oluwatoyosi; Aminu, Liman; Sawyerr, Henry Olawale
Lead poisoning from artisanal small-scale gold mining has occurred in 38 villages in Zamfara State, Nigeria since 2010. Soils from only 8 of the affected villages had been remediated including those from the town used for this study. This study assesses the lead concentration in the soil and water media of the village. Soil samples were collected in the vicinity of the village as well as at the mining/processing site. Water samples were also collected from well, boreholes and the pond near the village. All samples were collected, preserved, and prepared for lead analysis using standard procedures. Atomic Absorption Spectrophotometer was used for lead content analysis. Lead in the mining/processing site (soil) was 9200 to 12500 mg/kg while that of the village soil was between 10.1 and 33.6 mg/kg. Lead content was detectable only in the well water (0.1 to 0.3 mg/kg) and in the pond (0.9 to 1.21 mg/kg). Although the values were below the US Environmental Protection Agency (EPA) guideline for soil lead, the level in water was elevated above the maximum allowable limit for drinking water. Better monitoring of children between 5 and 15 years of age for bioaccumulation was suggested to prevent future reoccurrence of the health impact of the affected children and young adults.
A GENERALIZED SCHEME FOR THE NUMERICAL SOLUTION OF INITIAL VALUE PROBLEMS IN ORDINARY DIFFERENTIAL EQUATIONS BY THE RECURSIVE FORMULATION OF TAU METHOD
(2013-05) K. Issa; R.B. Adeniyi
The generalization of the recursive form of the tau method for both overdetermined and non-overdetermined ordinary differential equations of the initial value type is the main thrust of the work reported here. This will facilitate an automation of this variant of the method and consequently an efficient utilization of the technique. Results from the numerical experiment confirm the validity and effectiveness of the derived scheme.
A New Generalized Gamma-Weibull Distribution and Its Applications
(AL-BAHIR JOURNAL FOR ENGINEERING AND PURE SCIENCES, 2023-03-10) Nihimat I. Aleshinloye; Samuel A. Aderoju; Alfred A. Abiodun; Bako L. Taiwo
In this paper, a New Generalized Gamma-Weibull (NGGW) distribution is developed by compounding Weibull and generalized gamma distribution. Some mathematical properties such as moments, R enyi entropy and order statistics are derived and discussed. The maximum likelihood estimation (MLE) method is used to estimate the model parameters. The proposed model is applied to two real-life datasets to illustrate its performance and flexibility as compared to some other competing distributions. The results obtained show that the new distribution fits each of the data better than the other competing distributions.
A New Generalized Gamma-Weibull Distribution and its Applications
(Al-Bahir Journal for Engineering and Pure Sciences, 2023-04-17) Aleshinloye, N.I.; Aderoju, S. A.; Abiodun, A.A.; Taiwo, B.L.
In this paper, a New Generalized Gamma-Weibull (NGGW) distribution is developed by compounding Weibull and generalized gamma distribution. Some mathematical properties such as moments, Renyi entropy and order statistics are derived and discussed. The maximum likelihood estimation (MLE) method is used to estimate the model parameters. The proposed model is applied to two real-life datasets to illustrate its performance and flexibility as compared to some other competing distributions. The results obtained show that the new distribution fits each of the data better than the other competing distributions.
A New Generalized Gamma-Weibull Distribution with Applications to Time-to-event Data
(2023-11-18) Kazeem Adesina Dauda; Rasheed Kehinde Lamidi; Adeshola Adediran Dauda; Waheed Babatunde Yahya
In this research, a new class of probability distributions referred to as Generalized Gamma Weibull (GGW) distributions was introduced within the context of parametric survival analysis. This distribution represents a modification of the gamma Weibull distribution and offers valuable insights, particularly when dealing with highly skewed lifetime data. The study extensively examined the mathematical characteristics of these distributions, encompassing hazard functions, moments, quantile functions, and order statistics. Furthermore, the research delved into parameter estimation methods for these newly proposed distributions, employing the maximum likelihood technique, Fisher Information (FI), and deriving asymptotic confidence intervals for both censored and uncensored scenarios. To illustrate the practical utility of these proposed distributions, the study applied them to analyze two sets of real-life survival data and two sets of real-life data, resulting in a total of four distinct datasets. To gauge the effectiveness of the GGW distributions in comparison to existing methods such as Generalized Weibull and Generalized gamma (G-Weibull and G-Gamma) distributions, the research employed statistical indices including the Akaike Information Criterion (AIC), Corrected Akaike Information Criterion (CAIC), and Bayesian Information Criterion (BIC). The outcomes of this comparative analysis demonstrated the superior performance of the newly introduced GGW distributions (AIC=338.6313, BIC=346.2794, and CAIC=339.5202) when contrasted with the existing methods (G-Weibull: AIC=376.1946, BIC=381.9307, and CAIC=376.5424) across all three criteria, thereby highlighting the enhanced suitability of GGW distributions for modeling and analyzing skewed lifetime data.
A new generalized Poisson mixed distribution and its application
(Applied Mathematical Sciences, 2020) Aderoju, S.A.
A new generalized Poisson mixed distribution is proposed in this study called New Generalized Poisson-Sujatha distribution (NGPSD). The properties and application of the distribution are studied. The two parameter distribution is obtained by compounding Poisson distribution with a two parameter generalized Sujatha distribution. The distribution has a tendency to account for over-dispersion in count data. The first four moments, variance and coefficient of variation of the distribution are also obtained. The estimators of its parameters are obtained via maximum likelihood method using R-software. The goodness-of-fit of the distribution is compared with other distributions such as Poisson distribution (PO), negative binomial (NB), Generalized Poisson-Lindley (GPL) and a New Generalized Poisson-Lindley (NGPL) Distributions. It can be seen that the test statistic, AIC and BIC for the NGPSD are lower than those of competing distributions implying that the proposed distribution satisfactorily fits better to the data set.
A New Lifetime Distribution and its Application to Cancer Data
(Journal of Biostatistics and Epidemiology, 2023-12-15) Samuel Adewale Aderoju; Nihimat Iyebuhola Aleshinloye; Bako Lukmon Taiwo; Bello Ishola Sanni
Introduction: Recently, researchers have introduced new generated families of univariate lifetime distributions. These new generators are obtained by adding one or more extra shape parameters to the underlying distribution or compounding two distributions to get more flexibility in fitting data in different areas such as medical sciences, environmental sciences, and engineering. The addition of parameter(s) has been proven useful in exploring tail properties and for improving the goodness-of-fit of the family of the proposed distributions. Methods:A new Three-Parameter Weibull-Generalized Gamma distribution which provides more flexibility in modeling lifetime data is developed using a two-component mixture of Weibull distribution (with parameters θ and λ) and Generalised Gamma distribution (with parameters α=4,θ and λ). Some of its mathematical properties such as the density function, cumulative distribution function, survival function, hazard rate function, moment generating function, Renyi entropy and order statistics are obtained. The maximum likelihood estimation method was used in estimating the parameters of the proposed distribution and a simulation study is performed to examine the performance of the maximum likelihood estimators of the parameters. Results: Real life applications of the proposed distribution to two cancer datasets are presented and its fit was compared with the fit attained by some existing lifetime distributions to show how the Three-Parameter Weibull-Generalized Gamma distribution works in practice. Conclusion: The results suggest that the proposed model performed better than its competitors and it’s a useful alternative to the existing models.
A novel hybrid dimension reduction technique for efficient selection of bio-marker genes and prediction of heart failure status of patients
(Scientific African, 2021-05-02) Kazeem Adesina Dauda; Kabir Opeyemi Olorede; Samuel Adewale Aderoju
This study highlighted and provided a conceptual framework of a hybridized dimension reduction by combining Genetic Algorithms (GA) and Boruta Algorithm (BA) with Deep Neural Network (DNN). Among questions left unanswered sufficiently by both computational and biological scientists are: which genes among thousand of genes are statistically relevant to the prediction of patients’ heart rhythm? and how they are associated with heart rhythm? A plethora of models has been proposed to reliably identify core informative genes. The premise of this present work is to address these limitations. Five distinct micro-array data on heart diseases have been taken into consideration to observe the prominent genes. We form three distinct set two-way hybrids between Boruta Algorithm and Neural Network (BANN); Genetic Algorithm and Deep Neural Network (GADNN) and Boruta Algorithm and Deep Neural Network (BADNN), respectively, to extract highly differentially expressed genes to achieve both better estimation and clearer interpretation of the parameters included in these models. The results of the filtering process were observed to be impressive since the technique removed noisy genes. The proposed BA algorithm was observed to select minimum genes in the wrapper process with about 80% of the five datasets than the proposed GA algorithm with 20%. Moreover, the empirical comparative results revealed that BADNN outperformed other proposed algorithms with prediction ac curacy of 97%, 87%, and 100% respectively. Finally, this study has successfully demonstrated the utility, versatility, and applicability of hybrid dimension reduction algorithms (HDRA) in the realm of deep neural networks.
A Novel Variable Selection Procedure for Binary Logistic Regression Using Akaike Information Criteria Testing: An Example in Breast Cancer Prediction.
(Turkiye klinikleri, 2023-07-13) Oyebayo Ridwan Olaniran; Saidat Fehintola Olaniran
Breast cancer is a leading cause of cancer-related death among women worldwide, with approximately 2.3 million new cases and 685,000 deaths reported in 2020 alone. One critical step in developing effective classification and prediction models is variable selection, which involves identifying a subset of relevant variables from a larger set of potential predictors. Accurate variable selection is crucial for building interpretable and robust models that are not overfit to noise, leading to improved model performance and generalization ability. In this paper, we proposed an alternative objective approach for comparing two Akaike Information Criterions (AIC) that originated from two competing models, such that the magnitude of the difference is subjected to the statistical test of significance. Material and Methods: We developed a new backward elimination variable selection procedure similar in spirit to the existing “step AIC” within the environment of R statistical software. We used both simulated and Wisconsin breast cancer diagnostic datasets to compare the proposed method's variable selection and predictive performances with “step AIC” and LASSO. Results: The simulation showed that the proposed AIC procedure achieved higher variable selection sensitivity, specificity and accu racy when compared to stepAIC and LASSO. Also, the proposed AIC method's prediction results are relatively comparable with ste pAIC and LASSO at various simulated data dimensions. Similar supremacy results were observed with the breast cancer dataset used. Conclusion: The AIC-based variable selection approach pro posed is a promising method that integrates AIC with statistical testing for improved variable selection in breast cancer classifica tion and predictio
A rapid reversed-phase thin layer chromatographic detection protocol for adulteration in some edible fats and oils food formulation
(Federal University of Technology, Minna, 2021-05-24) Mustapha A.O, Adepoju, R.A, Fadipe V.O
The problems of adulteration in the vegetable oil and fat have been the major draw backs in the food products formulation, in spite of the various adulteration detection methods in different applications that have been reported. However, the detection tools that can be fast and reliable for the routine analysis necessitated the current work. The two groups of three different samples: vegetable fat containing sample (Blue Band, Golden Penny, La Prairie Classic) and animal fat containing samples (Kell Salad Cream, Crosse & Blackwell and Nola) was used for the purity check using the reversed phased - thin layer chromatographic (RPTLC) method of analysis were developed. The average Rf ratio of 0.95 and 0.92, found for the vegetable and animal fat groups were reported, respectively. The Rf = 0.03 difference between the two groups indicated the presence of sistosterol (plant sterol) and cholesterol (animal sterol), an improvement over color detection methods to screen oils and fats to ascertain purity.
A review of farmers-herders conflict and implications on food security, ecological systems and economy of Ibarapa, Oyo State, Nigeria
(EPH – International Journal of Educational Research, 2023) Jimoh, A. A., Lawal, A. R., and Bello, Z. A.
In Nigeria, thousands of people die in violent clashes between groups of farmers and nomadic pastoralists. Due to better access to weapons and communication tools, the war has been worse in recent years. The old and the well-established systems of negotiation between the groups have mostly broken down. Thus, those with superior tools try to acquire what they want without speaking to other parties. The lack of resources, however, did not suddenly appear in the region and is also a result of several other factors that were discussed in this study, such as ineffective state mechanisms, the Nigerian oil boom, late effects of colonialism, climate change, constantly rising non-state group armament, e. t. c. To demonstrate effects of the conflict, the socioeconomic implications will be discussed. This research focuses on the crisis between the farmers and the Fulani herdsmen in the Ibarapa community of Oyo State as a review case study. The Ibarapa community is made up of various socioeconomic groups who have lived together for a long time, even though this coexistence has both beneficial and negative effects. Yoruba people, that are primarily farmers, and Fulani herdsmen, who are primarily herders, make up the majority of those leaving the Ibarapa community. In recent years, tension and hostility between farmers and herdsmen have emerged due to the battle for land and other scarce resources. Insecurity and food crisis have also resulted from the conflict, which have escalated into fights between the two groups. The connection between the two groups has soured, though, and this is a serious matter that warrants attention on a worldwide scale. Hence this review is apt.
A Study of the Use of Honey and Ethno-biological Components in Nigerian Trado-medical Practices
(2014) Ajao AM, Oladimeji YU, Babatunde SK, Obembe A
Trado-medical practice variously referred to as ethno-medicine, folk medicine, native healing, and alternative medicine, is an ancient and culture-bound method of healing used against various diseases threatening human existence and survival. The aim of this study was to investigate the use of honey and other ethno-biological components in the treatment of different ailments in Kwara State, North central Nigeria. Structured questionnaire and interview schedule were used to collect information from 280 respondents (120 herb sellers and 160 trado-medical practitioners). The result revealed methods of remedies’ preparation such as infusion, decoction, maceration, extraction, squeezing, soaking, shredding, grinding/pounding, and drying while the mode of use include: drinking, chewing, licking, eating, and topical application. It was also observed that 20 plants and 6 animal products distributed across 18 and 5 families respectively were being used in combination with honey for the treatment of arthritis, toothache, cold, chronic cough, stomach ulcer, diabetes, wounds, hypertension, low sperm count, ear defect, rheumatism, malaria and infertility among others. The knowledge of trado-medical practices elicited could serve as a basis for further drug discovery, pharmacological research and bio-prospecting.
A Study of the Use of Honey and Ethno-biological Components in Nigerian Trado-medical Practices
(British Journal of Applied Science & Technology, 2014) Ajao, Adeyemi Mufutau; Oladimeji, Y.U.; Babatunde, S. K.; Obembe, A.
Trado-medical practice variously referred to as ethno-medicine, folk medicine, native healing, and alternative medicine, is an ancient and culture-bound method of healing used against various diseases threatening human existence and survival. The aim of this study was to investigate the use of honey and other ethno-biological components in the treatment of different ailments in Kwara State, North central Nigeria. Structured questionnaire and interview schedule were used to collect information from 280 respondents (120 herb sellers and 160 trado-medical practitioners). The result revealed methods of remedies’ preparation such as infusion, decoction, maceration, extraction, squeezing, soaking, shredding, grinding/pounding, and drying while the mode of use include: drinking, chewing, licking, eating, and topical application. It was also observed that 20 plants and 6 animal products distributed across 18 and 5 families respectively were being used in combination with honey for the treatment of arthritis, toothache, cold, chronic cough, stomach ulcer, diabetes, wounds, hypertension, low sperm count, ear defect, rheumatism, malaria and infertility among others. The knowledge of trado-medical practices elicited could serve as a basis for further drug discovery, pharmacological research and bio-prospecting.

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