Buspirone Hydrochloride Tablet
Product Images NDC 23155-024

Product Visual Gallery

This gallery contains 16 technical images submitted to the FDA as part of the official labeling for Buspirone Hydrochloride (NDC 23155-024). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Heritage Pharmaceuticals Inc. D/b/a Avet Pharmaceuticals Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

10mg 100s

This is a product label for BusPIRone Hydrochloride Tablets, USP with NDC number 23155-024-01. The tablets come in a bottle of 100, and the label includes information on dosage and administration.*

FDA Label Image

10mg One Third

FDA Label Image

10mg Two Thirds

FDA Label Image

15mg 60s

This is a drug label for BusPIRone Hydrochlor, a medication that is sold in the form of tablets, USP. The NDC (National Drug Code) for this drug is 23155-025-06, and it comes with a patient information leaflet. The drug is likely to be used to treat anxiety disorders and may only be dispensed by a qualified pharmacist.*

FDA Label Image

15mg Half

FDA Label Image

15mg Splitting

FDA Label Image

15mg Whole

FDA Label Image

20mg Two Thirds

FDA Label Image

30mg 60s

FDA Label Image

30mg Splitting

FDA Label Image

30mg Whole

FDA Label Image

5mg 100s

This appears to be a document related to a medication called Buspirone Hydrochloride. It includes a prescription number (SOS1L02000000019), medication strength (10mg), quantity (100 tablets), and National Drug Code (NDC) number (23155-023-01). The document also contains some other text that is difficult to interpret and may be handwriting or scanning errors.*

FDA Label Image

5mg One Third

FDA Label Image

7 5mg Half

FDA Label Image

Avet Logo

FDA Label Image

Chemical Structure Buspirone

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.