Product Images Trezix
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Trezix NDC 63187-705 by Proficient Rx Lp, 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.
Acetaminophen - Chemical Structure - 42b7a53c 5674 4da0 a04f f2c1d4245c45 1
This is a chemical formula for a compound with the molecular formula HO CgHgNOg and a molecular weight of 151.16. It is not clear what the compound is or what it is used for.*
Caffeine - Chemical Structure - 42b7a53c 5674 4da0 a04f f2c1d4245c45 2
The text is a chemical formula and molecular weight of a compound: "CsHioN4O2 M.W. = 194.19"*
Dihydrocodeine Bitartrate - Chemical Structure - 42b7a53c 5674 4da0 a04f f2c1d4245c45 3
This is a chemical compound with the molecular formula C15H2sNO and the molecular weight 451.47. The text also contains some gibberish symbols that cannot be interpreted. A specific name or class cannot be provided without further information.*
63187-705-60 - 42b7a53c 5674 4da0 a04f f2c1d4245c45 4
This is a medication package of Trezix 320.5/30/16mg, containing 60 red capsules that are imprinted with "TREZIX" in white ink. Each capsule contains Acetaminophen 320.5mg, Caffeine 30mg, and Dihydrocodeine Bitartrate 16mg. The lot number is 00000 with an expiry date of 00/00/00. The medication guide is provided with the package, and it is recommended to dispense it along with the capsules to each patient. It is a prescription-only medication and should be stored at 20°-25°C (68°-77°F) away from the reach of children. The package is manufactured by WraSer Pharmaceuticals, Ridgeland, MS 39157, and it was packaged by Proficient Rx LP, Thousand Oaks, CA. The product ID is PT070560, and the serial number is MASTER.*
* 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.