BackgroundDetermining which therapies fall under the umbrella of complementary, alternative, and/or integrative medicine (CAIM) is difficult for several reasons. An operational definition is dynamic, and changes depending on both historical time period and geographical location, with many countries integrating or considering their traditional system(s) of medicine as conventional care. We have previously reported the first operational definition of CAIM informed by a systematic search. In the present study, we have developed a comprehensive search string informed by an operational definition of CAIM for systematic bibliographic database search strategies.MethodsWe developed a single search string for the most common bibliographic databases, including those searchable on the OVID platform (e.g., MEDLINE, EMBASE, PsycINFO, AMED), the EBSCO platform (e.g., ERIC, CINAHL), Scopus, and Web of Science, using the finalised operational definition of CAIM’s 604 therapies. We searched the Therapeutic Research Center’s “Natural Medicines” database for all 604 therapies, and each item’s scientific name and/or synonym was included as a keyword or phrase in the search string.ResultsThis developed search string provides a standardised list of CAIM terms (i.e., keywords and phrases) that may be searched on bibliographic databases including those found on the OVID platform (e.g., MEDLINE, EMBASE, PsycINFO, AMED), the EBSCO platform (e.g., ERIC, CINAHL), Scopus, and Web of Science.ConclusionResearchers can select relevant terms for their CAIM study and insert the keywords/phrases into these databases to receive all accessible data. This search technique can simply be copied and pasted into the search bar of each database to identify research by keywords, which is the most inclusive, or by words in the article title, which is more selective. Given its versatility across multiple commonly used academic platforms/databases, it is expected that this search string will be of great value to those conducting research on CAIM topics involving systematic search strategies.