Objective: Acupuncture overviews are increasing rapidly; however, their reporting quality is yet unclear. We aimed to investigate the reporting quality of relevant overviews according to the preferred reporting items for overviews of reviews (PRIOR) statement. Methods: We systematically searched PubMed from inception to August 16, 2022 for overviews on acupuncture therapies. Reporting quality of included overviews was evaluated using the PRIOR statement, and the results were cross-checked. Multiple linear regression analysis was used to assess the predictors of the reporting completeness. GraphPad 9.4 was utilized to generate an evidence map, Excel 2019 was used to extract and manage data, and R 4.2.3 was used for data analysis. Results: A total of 49 overviews published from 2006 to 2022 were included, of which China ranked first with 38 overviews. The most frequently searched database was PubMed/ Medline (n = 48, 98%), and commonly used methodological quality assessment tool was AMSTAR-2 (n = 14, 29%). The overarching themes centered on acupuncture for obstetrics, gynecology, reproductive diseases, as well as depression, anxiety, and insomnia. Reporting quality needs to be improved involving the definition of systematic reviews (SRs), overlap of primary studies and SRs, methods for managing discrepant data across SRs, risk of bias in primary studies, heterogeneity, and sensitivity analysis of synthesized results, reporting bias assessment, and registration and protocol. Moreover, publication in recent years and receiving funding support were significantly associated with higher overall reporting quality score (P < 0.05). Conclusion: Based on the PRIOR statement, this methodological study indicates that the reporting quality of the included acupuncture overviews is poor. In the future, authors of overviews are encouraged to use the PRIOR statement for standardized reporting. Furthermore, it is recommended that journal editors mandate the inclusion of this statement in authors' reports and require a complete PRIOR checklist.