This study examines the multifaceted influence of emerging technologies, specifically Artificial Intelligence (AI) and Blockchain, on the Nigerian scholarly publication landscape. Employing a qualitative thematic review methodology, the research synthesizes twenty-seven peer-reviewed publications from 2020 to 2025, utilizing a systematic synthesis matrix to analyze core technologies, associated ethical risks, and proposed mitigation strategies. Findings indicate that while these technologies significantly enhances operational efficiency and global information accessibility to meet high-frequency publish or perish pressures, they equally introduce critical threats to academic integrity, including automated deception, machine-generated hallucinations, and linguistic indistinguishability. A persistent digital divide characterized by high connectivity costs and erratic power infrastructure further complicates local adoption and the utilization of advanced verification platforms. Moreover, the prevalence of Western-centric AI training datasets poses a significant risk of diluting unique indigenous research perspectives. To mitigate these risks, the study highlights Blockchain as a viable \"trustless\" verification bridge for immutable audit trails, advocating for the implementation of energy-efficient \"lightweight\" protocols adapted to local constraints. Finally, the research concludes that Library and Information Science (LIS) professionals and Research Ethics Committees (RECs) must evolve from passive observers into proactive \"knowledge guardians\" and \"algorithmic auditors\". Recommendations include institutional investment in adaptive efficiency tools, mandatory AI usage disclosure policies, and continuous information literacy training to ensure emerging technologies enhance rather than replace human oversight in scholarly communication.