Tranexamic Acid Tablet, Film Coated
Product Images NDC 63629-8599

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Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Tranexamic Acid (NDC 63629-8599). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, 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

Label (Lbl636298599)

Label (Lbl636298599)
This is a medication called Tranexamic Acid, in a 650mg strength tablet. It is manufactured by Teva Pharmaceuticals and is used to treat heavy menstrual bleeding. It should be stored at room temperature and kept out of reach of children. The NDC number is 6362985991 0859981523487.*
FDA Label Image

Structural Formula For Tranexamic Acid (Tranexamic Acid Tablets A202093 1)

FDA Label Image

Figure 1 (The efficacy of Tranexamic acid tablets 3900 mg/day over 3 menstrual cycles and over 6 menstrual cycles was demonstrated versus placebo in the double-blind, placebo-controlled efficacy studies.)

Figure 1 (The efficacy of Tranexamic acid tablets 3900 mg/day over 3 menstrual cycles and over 6 menstrual cycles was demonstrated versus placebo in the double-blind, placebo-controlled efficacy studies.)
This text appears to be the representation of a chart or a data table. It shows the amount of Mean Menstrual Blood Loss (in mL) across different treatment periods and cycles. The treatments appear to be Tranexamic Acid Tablets (at 3300 mg/day and 3900 mg/day) and Placebo. The cycles are denoted as First, Second, Third, Fourth, Fifth, and Sixth, with their respective Baseline, Cycle 1, Cycle 2, and Cycle 3 periods. It is not clear what the study is about or what the purpose of the chart is without further context.*

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