Kaletra
Product Images NDC 53808-0276

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Kaletra (NDC 53808-0276). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Doh Central Pharmacy, 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

Kaletra® (lopinavir/ritonavir) Tablets 200 mg/50 mg Label (Kaletra 200 50mg(abbott))

Kaletra® (lopinavir/ritonavir) Tablets 200 mg/50 mg Label (Kaletra 200 50mg(abbott))
KALETRA is a prescription medication in tablet form, with a strength of 200/50MG. Each bottle contains 30 tablets, and is labeled with a lot number of 188477A from the manufacturer, Abbott. The Department of Health (DOH) also provides a lot number of 03182010X. The tablets have an expiration date of 09/30/2010 and have been packaged by DOH Central Pharmacy in Tallahassee, FL. The last line of text is unclear and appears to be gibberish, so it is not included in the description.*
FDA Label Image

Bsa Formula (Kaletra Tablets Bsacalculation)

FDA Label Image

Figure 1 (Kaletra Tablets Oral Figure1)

Figure 1 (Kaletra Tablets Oral Figure1)
This looks like a table or graph containing information about drug concentration for Lopinavir and Ritonavir measured in micrograms/mL over a specific period of time in hours. The table includes the concentration of each drug at 10 and 12 hours, as well as the 95% confidence level for the values. However, it is difficult to accurately assess the information without additional context.*
FDA Label Image

Lopinavir Structure (Kaletra Tablets Oral Structure1)

FDA Label Image

Ritonavir Structure (Kaletra Tablets Oral Structure2)

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