Daptomycin
Product Images NDC 72201-1009

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Daptomycin (NDC 72201-1009). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aspiro Pharma Limited, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

Carton-label (Carton Label)

Carton-label (Carton Label)
This is a description of a drug called Daptomycin for injection, with 500mg per vial. The drug is intended for intravenous infusion, and must be refrigerated. The packaging includes a sterile single-dose vial that must be discarded if unused. The package insert contains full information on dosage and administration. Reconstitution of the drug requires 10mL of 0.9% Sodium Chloride Injection to obtain a final concentration of 50mglmL. The drug does not contain any preservatives, and must be visually inspected before administration to make sure there is no particulate matter. The manufacturer is Aspiro Pharma Limited and the US contact number is 1-866-495-1995.*
FDA Label Image
Logo (Logo)
FDA Label Image

Structure (Structure)

Structure (Structure)
FDA Label Image

Vial-label (Vial Label)

Vial-label (Vial Label)
This text is a set of instructions for using 10 mL 0.9% Sodium Chloride Injection for reconstitution only with Daptomycin. It provides a lot number and advises the reader to refer to the package insert for complete dosage and administration information. The 500 mg per vi 16 x 16 mm solution needs to be refrigerated at 2°Ct08°C(36°F to 46°F). The text also includes manufacturer information and a warning to discard unused portions.*

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