Product Images Tecvayli

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Tecvayli NDC 57894-450 by Janssen Biotech, 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.

PRINCIPAL DISPLAY PANEL - 30 mg/3 mL Vial Carton - tecvayli 01

PRINCIPAL DISPLAY PANEL - 30 mg/3 mL Vial Carton - tecvayli 01

TECVAYLI™ is an injection medicine containing 30 mg of teclistamab-cqyv in each single-dose vial. The vial also contains edetate disodium, glacial acetic acid, polysorbate 20, sodium scetate, sucrose, and water for injection with no preservatives. The recommended dosage should be obtained from the prescribing information. This medication should be stored in the refrigerator at 2°C to 8°C and protected from light, and it should not be frozen. TECVAYLI™ is for subcutaneous injection by a healthcare professional only. Unused portions should be discarded. Mixing vials of different concentrations should not be done to achieve a treatment dose.*

PRINCIPAL DISPLAY PANEL - 153 mg/1.7 mL Vial Carton - tecvayli 02

PRINCIPAL DISPLAY PANEL - 153 mg/1.7 mL Vial Carton - tecvayli 02

This is a description of TECVAYLI, an injection for subcutaneous use manufactured in Ireland by Janssen Biotech, Inc. Each single-dose vial contains 153mg of teclistamab-cayy, along with other ingredients such as sucrose and water for injection. The recommended dosage information is not provided, but the prescribing information should be consulted. The vials should be stored refrigerated and discarded if unused. It is important to note that TECVAYLI vials of different concentrations should not be combined. The medication guide should be provided to each patient by the healthcare provider. Patent information is also provided.*

* 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.