SUBJECT CATEGORY: PHARMACOLOGY | May 2, 2025
Pharmaceutical and Non-Pharmaceutical Therapies in Substance Use Disorder
Chukwunwike N. Nwonu, Patience C. Nwonu
Page no 81-90 |
https://doi.org/10.36348/sb.2025.v11i05.002
Background: The use of substances for recreational and other non-medical purposes is alarming in the society. The trend of substance use globally has been phenomenally startling in the last five decades, and has assumed epidemic and worrisome proportions in recent times. A significant number of these substances are used in the treatment of diverse clinical conditions. Objective: The work discussed the protocols for rehabilitation and recovery from substance addiction, strategies for prevention, principles underlying the treatment of substance use disorder, and the various therapeutic measures for containing substance use disorder. Method: The literature search included databases of google scholar, directory of open access journals, cross reference, pubmed, web of science, etc. Articles on substance abuse and addiction were identified and reviewed for selection. The keywords used in the search were: drug abuse, drug addiction, substance abuse, substance misuse, drug dependence and drug use disorders. There was also a scan of the references of identified journal articles. Only works written in English were extracted. Result and Discussion: One hundred and eighteen journal articles and other materials were sourced, while thirty-six (36) articles and other works were identified, extracted and reviewed. Findings show that substance abuse is not immune to any societies. It is a global problem and is responsible for millions of crime and criminality, and their sustenance, as well as many of the deaths, especially violent crimes (e.g., domestic violence, sexual assault, gangsterism, robbery, banditry, insurgency, etc.) in many countries. Substance addiction is preventable and can be treated. No single modality of treatment adequately fits all forms of substance addiction. Relapse frequently occurs during rehabilitation and treatment programmes, and sometimes after many years of abstinence from substance use. Conclusion: The indiscriminate and inappropriate use of legal and prohibited substances is now a serious public health and social concern. Addiction is the most severe form of substance use disorder. It is a chronic and complex, but treatable disease that affects the human brain structure, function, and behaviour. Prevention reduces the scourge of the menace through public health enlightenment programmes. Several modalities are available for treating substance use disorder, and they include psychotherapy or talk therapy (e.g., counselling, cognitive behavioural therapy, guided self-help, etc.), medical detoxification, pharmacotherapy, and traditional (herbal) remedies. None of these therapeutic approaches works for everyone. In most cases, a combination of these treatment modalities is used during therapy of substance abuse and addiction. Treatment disrupts the cycle of addiction, which is often times prolonged and intensive.
SUBJECT CATEGORY: PHARMACOLOGY | May 13, 2025
Comparative Antioxidant Potential of Fractionalised Extracts of Detarium senegalense on Streptozocin Induced Diabetic Rat Models
Nwoke E.E, Imananagha-Amene B.E, Onwuka N.A, Lemii B.C, Nmehielle-Oluwadare I, Nwikue G, Edward U.F, Enebeli S.K
Page no 91-97 |
https://doi.org/10.36348/sb.2025.v11i05.003
Oxidative stress is acknowledged as a significant contributor to the initiation and advancement of Diabetes Mellitus and its associated consequences. Consequently, antioxidant-based treatment approaches have garnered heightened interest in diabetes research. Detarium Senegalense (DS), a plant extensively used in traditional West African medicine, has antidiabetic and antioxidant characteristics. The present study therefore assessed and compared the antioxidant potential of fractionalized extracts of Detarium Senegalense in diabetic Wistar rat models. Male Wistar rats, with weights ranging from 150-200 grams, were deployed and randomly separated, with each of the 6 different groups having 7 rats per group. The first group took just water and ordinary feed (control), while groups 2-6 were subjected to streptozotocin (ST-Z) induction (60 mg/kg intraperitoneally). Group 2 was the control and received 60mg/kg streptozocin only intraperitonially, group 3 received ST-Z and 50mg/kg metformin (MET-F). Group 4, 5 and 6 received 250 mg/kg each of D. Senegalense (DS) extracts of ethyl acetate (DS_EA), N-hexane (DS_HE), and chloroform (DS_CE) respectively. Fasting blood glucose levels, Superoxide Dismutase (SOD), Malondialdehyde (MD-A), Catalase (CATL), were assessed and compared weekly over a 10-week period, before and after therapy. The experimental animals exhibited superior antioxidant bioactivity compared to control animals. Diabetic rats demonstrated a substantial elevation in MD-A, a depletion in CATL along with SOD. Administration of 250mg/kg each of hexane (DS_HE), ethyl acetate (DS_EA) as well as chloroform fractions (DS_CE) derived from the ethanol extract from the bark of the stem in conjunction with 50mg/kg of the anti-diabetic drug metformin (MET), substantially decreased MD-A levels while enhancing CATL and SOD, with the ethyl acetate extract demonstrating the greatest efficiency. The DS extract exhibited considerable antioxidant capabilities, substantiating its use in traditional medicine.
SUBJECT CATEGORY: MANAGEMENT | May 29, 2025
Comparative Evaluation of LSA-Based Summarization Against Traditional and Neural Approaches Using Cosine Similarity
Abigail Adeniran
Page no 98-104 |
https://doi.org/10.36348/sb.2025.v11i05.004
This study presents a comparative evaluation of Latent Semantic Analysis (LSA)-based extractive summarization against traditional statistical and neural approaches using cosine similarity as the principal evaluation metric. The methodology involves implementing an LSA summarizer on structured textual data, particularly a speech document, and analysing its performance relative to Naïve Bayes and Rank Net-based models. Key evaluation criteria include precision, recall, F1 score, and semantic similarity between original and summarized texts. Results show that while LSA marginally trails neural models in performance, it significantly outperforms traditional approaches and offers advantages in interpretability, computational efficiency, and adaptability. The study also explores how sentence scoring within the semantic space contributes to summary quality, as well as the effect of summary length on content retention. Visual data representations support these findings and highlight the model’s semantic focus. Recommendations suggest using LSA in low-resource settings or as part of hybrid systems. Future research directions include expanding to multi-document and multilingual summarization, as well as integrating sentence compression. Overall, LSA is reaffirmed as a viable, adaptable, and efficient summarization method suitable for various real-world applications.