diff --git a/src/tallies/tally.cpp b/src/tallies/tally.cpp
index 674987b8f13..ba899611c3b 100644
--- a/src/tallies/tally.cpp
+++ b/src/tallies/tally.cpp
@@ -714,7 +714,7 @@ void Tally::init_triggers(pugi::xml_node node)
       } else {
         int i_score = 0;
         for (; i_score < this->scores_.size(); ++i_score) {
-          if (reaction_name(this->scores_[i_score]) == score_str)
+          if (this->scores_[i_score] == reaction_type(score_str))
             break;
         }
         if (i_score == this->scores_.size()) {
diff --git a/tests/unit_tests/test_triggers.py b/tests/unit_tests/test_triggers.py
index 6b9e54eeb72..14bda0cceb3 100644
--- a/tests/unit_tests/test_triggers.py
+++ b/tests/unit_tests/test_triggers.py
@@ -113,3 +113,34 @@ def test_tally_trigger_zero_ignored(run_in_tmpdir):
         total_batches = sp.n_realizations + sp.n_inactive
         assert total_batches < pincell.settings.trigger_max_batches
 
+
+
+def test_trigger_he3_production(run_in_tmpdir):
+    li6 = openmc.Material()
+    li6.set_density('g/cm3', 1.0)
+    li6.add_nuclide('Li6', 1.0)
+
+    sph = openmc.Sphere(r=20, boundary_type='vacuum')
+    outer_cell = openmc.Cell(fill=li6, region=-sph)
+    model = openmc.Model()
+    model.geometry = openmc.Geometry([outer_cell])
+    model.settings.source = openmc.IndependentSource(
+        energy=openmc.stats.delta_function(14.1e6)
+    )
+    model.settings.batches = 10
+    model.settings.particles = 100
+    model.settings.run_mode = 'fixed source'
+    model.settings.trigger_active = True
+    model.settings.trigger_batch_interval = 10
+    model.settings.trigger_max_batches = 30
+
+    # Define tally with trigger
+    trigger = openmc.Trigger(trigger_type='rel_err', threshold=0.0001)
+    trigger.scores = ['He3-production']
+    he3_production_tally = openmc.Tally()
+    he3_production_tally.scores = ['He3-production']
+    he3_production_tally.triggers = [trigger]
+    model.tallies = openmc.Tallies([he3_production_tally])
+
+    # Run model to verify that trigger works
+    model.run()