Product Images Kaletra

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Kaletra NDC 68258-1972 by Dispensing Solutions, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

NDC 68258-1972-01 - NDC 68258 1972 01 ABBOTT

NDC 68258-1972-01 - NDC 68258 1972 01      ABBOTT

This text provides information about bulk source data, a product named KALETRA produced by ABBOTT PHARMACEUTICALS PRLTD, which includes details about the product identification, dosage information, lot number, and other important information. The product description mentions yellow ovaloid film-coated tablets with a logo of KA debossed, which should be taken orally with meals and should not be broken, crushed or chewed. The text also includes a warning to keep the product out of children's reach and a note on how to store it. Overall, the text contains useful information for users who want to know more about KALETRA.*

Body surface area equation. - kaletra tablets bsacalculation

Body surface area equation. - kaletra tablets bsacalculation

Figure displays steady-state plasma concentrations for lopinavir and ritonavir. - kaletra tablets oral figure1

Figure displays steady-state plasma concentrations for lopinavir and ritonavir. - kaletra tablets oral figure1

This is a table containing information about the concentration (in ug/mL) of Lopinavir and Ritonavir, along with their respective 95% confidence intervals, at a given time (in hours). No further information is available.*

Chemical structure for lopinavir. - kaletra tablets oral structure1

Chemical structure for lopinavir. - kaletra tablets oral structure1

Chemical structure for ritonavir. - kaletra tablets oral structure2

Chemical structure for ritonavir. - kaletra tablets oral structure2

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.