RxNorm · SCDC · 966999

966999

SCDC · Clinical drug component

Phoma destructiva allergenic extract 100 MG/ML

Concept
RxCUI966999
NamePhoma destructiva allergenic extract 100 MG/ML
Term typeSCDC · Clinical drug component
LanguageENG
SuppressO
Cross-maps
UMLS CUIC2747711
Synonyms

No additional synonyms recorded.

# same page, as API
GET api.autoicdapi.com/v1/reference/rxnorm/966999
GET api.autoicdapi.com/v1/translate?code=966999&from=rxnorm&to=umls

Common questions

What is the RxNorm code for Phoma destructiva allergenic extract 100 MG/ML?

Phoma destructiva allergenic extract 100 MG/ML is coded as 966999 in RxNorm.

What is RxNorm code 966999?

966999 is the RxNorm identifier for Phoma destructiva allergenic extract 100 MG/ML. It is included in the current monthly NLM RxNorm release.

What term type is RxCUI 966999?

966999 is a SCDC (Clinical drug component) in RxNorm.

What is the UMLS mapping for 966999?

966999 maps to UMLS C2747711.

RxNorm, plainly answered

What is RxNorm?
RxNorm is the NLM's normalized naming system for clinical drugs and dose forms. It collapses brand variants, packaging differences, and source-vocabulary noise into a single, stable identifier (RxCUI) per concept, with explicit links to ingredients, brands, and clinical drug forms.
What are RxCUIs?
An RxCUI is the persistent ID for a single RxNorm concept. The same RxCUI keeps pointing at the same drug concept release after release, even when names or sources change. That stability is what makes RxNorm useful for medication reconciliation and analytics.
How does RxNorm relate to NDC codes?
NDC codes describe a specific package SKU at a specific manufacturer. RxNorm describes the clinically relevant drug. One RxCUI can map to dozens of NDCs (different manufacturers, different package sizes), and we list those NDC mappings on each concept page.
How does RxNorm cross-map to other standards?
RxNorm concepts carry direct links to UMLS CUIs and SNOMED CT product codes when available. Through the UMLS bridge they can also reach ICD-10 codes (for instance, for indication-based coding) and LOINC observations. Our API exposes all of this on the cross_references field.
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