Product Images Abacavir

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Abacavir NDC 72865-167 by Xlcare Pharmaceuticals 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.

abacavirstructure1 - abacavirstructure1

abacavirstructure1 - abacavirstructure1

carton-label - carton label

carton-label - carton label

Abacavir Tablets, USP are film-coated tablets containing abacavir sulfate USP equivalent to 300 mg of abacavir. Batch coding expressions will be coded online along with actual batch details. The medicine is for authorized dispensers only. The usual dosage should be determined based on the prescribing information for dosage and administration. The product should be stored between 20 to 25°C (68 to 77°F) according to USP Controlled Room Temperature. The medicine should not be used if the printed safety seal under the cap is broken or missing. It comes with a medication guide and warning card. Contact number for US customers is 1-866-495-1995. The medicine is manufactured by Evaric Pharmaceuticals Inc., and the packaging is done by XLCare Pharmaceuticals Inc.*

container-label - container label

container-label - container label

Abacavir Tablets, USP are a prescription medication containing abacavir sulfate USP equivalent to 300 mg of abacavir, manufactured by XLCare Pharmaceuticals Inc. It comes in a pack of 60 tablets and a medication guide and warning card should be given to the patient every time the medication is dispensed. The usual dosage should be determined based on the prescribing information for Dosage and Administration. The medication should be stored at 20-25°C (68-77°F). The medication is manufactured by Evaric Pharmaceuticals Inc. located in Hauppauge, New York, USA.*

* 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.