Atomoxetine Capsule
Product Images NDC 60687-326

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Atomoxetine (NDC 60687-326). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by American Health Packaging, 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

25 mg Blister

FDA Label Image

25 mg Carton

25 mg Carton
This is a prescription medication, Atomoxetine capsules with the NDC number 60687-567-21. It comes in a pack of 30 capsules, and the usual dosage should be prescribed by a doctor. The medication should be stored at room temperature between 59-86°F, and should be kept out of reach of children. The medication should not be used if the packaging is torn or broken. It is distributed by American Health Packaging in Columbus, Ohio. The text also contains a NOC number, LRI code, and a pharmacist's instruction to dispense the medication with the accompanying medication guide.*
FDA Label Image

40 mg

FDA Label Image

Ahp32625

FDA Label Image

Ahp56721

FDA Label Image

Figure 1

Figure 1
This appears to be a graph showing mean weight and height percentiles for two groups of individuals (N=203 and N=155) over the course of 36 months of treatment. The x-axis represents the months of treatment and the y-axis represents weight or height percentile. The graph includes three lines, one for weight percentile in the first group, one for weight percentile in the second group, and one for height percentile in the second group. There is not enough information to provide further context or interpretation.*
FDA Label Image

Structure

FDA Label Image

Image 01

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